JP4441603B2 - Risk assessment device and program - Google Patents

Description

  The present invention relates to a risk evaluation apparatus capable of presenting a risk of developing a disease and the like.

Conventionally, in order to support prevention / treatment of lifestyle-related diseases and the like, a system for presenting a risk of developing a disease is known (see, for example, Patent Document 1).
Japanese Patent Laid-Open No. 2002-24401 (page 4-7, FIG. 1)

Such a system, for example, grasps the risk of developing a disease corresponding to each person and indicates not only the level of risk of onset, but also the risk factor of the disease that is expected to develop. Here, the risk factor is an element that is considered to be deeply related to the onset of the disease. For example, the risk factor includes not only a factor determined for each person such as a gene (genetic factor) but also a blood pressure value. Also included are index values (barometers) that can be controlled to some extent such as cholesterol levels.
Also, some diseases are called multifactorial diseases, and multiple risk factors are associated with the onset. For example, diseases such as cerebral infarction, ischemic heart disease and diabetes are listed as representative of multifactorial diseases.

  Thus, for example, when an individual has a high risk of developing cerebral infarction, the system indicates the risk of developing cerebral infarction and presents a plurality of risk factors related to the development of cerebral infarction. Thereby, a user (patient etc.) can grasp | ascertain the some risk factor relevant to the disease with which onset is anticipated, and the disease.

As described above, the conventional system can present a plurality of risk factors related to a disease.
However, the conventional system merely presents a plurality of risk factors related to the disease, and the user cannot grasp the relationship between the plurality of risk factors and the plurality of diseases.
For example, in the case of lifestyle diseases such as diabetes, there are many risk factors that are common to other diseases. Nevertheless, since the conventional system only displays risk factors for each disease, patients with insufficient medical knowledge cannot understand the similarities and differences from other diseases. That is, there is a problem that it is difficult to grasp points to be noted in living a healthy life.

  At present, risk factors such as genes related to diseases are rapidly elucidated, and it is predicted that more risk factors will be revealed in the future. However, with conventional systems, even medical personnel such as doctors are expected to be unable to grasp the relevance of multiple onset risks. For this reason, the development of a system that can clearly present the relationship between a plurality of risk factors and a plurality of diseases has been awaited.

The present invention has been made in view of the above circumstances, and an object thereof is to provide a risk evaluation apparatus and a program that can clearly present the relationship between a plurality of risk factors and a plurality of diseases.
It is another object of the present invention to provide a risk evaluation apparatus and program that can present the relationship between the risk factor status of each subject and a plurality of diseases.

In order to achieve the above object, a risk evaluation apparatus according to the first aspect of the present invention includes a risk information storage unit that stores a plurality of diseases in association with a plurality of risk factors that can cause each disease. A diagram generation / output unit for generating and outputting a chart showing a mutual relationship between the plurality of diseases and the risk factor for a plurality of diseases selected from the plurality of diseases stored in the risk information storage unit; More than a predetermined number of diseases are specified by relationship information storage means for storing relationship information (for example, category information) that defines a hierarchical relationship between each disease and specification information for specifying a plurality of diseases to be evaluated In the case of the above, according to the relationship information (for example, category information) stored in the relationship information storage means, a higher-ranking disease common to at least two of the specified diseases is identified. An upper disease identification means for performing the above-mentioned, the chart generation output means, the input means for inputting the designation information (for example, cerebral infarction, diabetes, etc.), and the designation information (for example, cerebral infarction, Corresponding to each risk factor specified by the risk information storage means and the risk factor specified by the risk factor specification means (for example, systolic blood pressure) in accordance with diabetes, etc.) Diagnostic value acquisition means for acquiring a diagnostic value of a patient (for example, a specific numerical value such as the maximum blood pressure “140.0 mmHg”) and the diagnostic value acquired by the diagnostic value acquisition means are compared with a predetermined standard value. A risk factor that identifies a risk factor corresponding to a diagnostic value that deviates from a standard value as a risk factor, each risk factor that is identified by the risk factor identification unit, and It is possible to specify the risk factor specified by the risk factor specifying means for the chart generating means for generating a chart (for example, Venn diagram) showing the relationship with each disease specified in the fixed information, and the chart generated by the chart generating means. Output means in such a form (for example, to make risk factors stand out), and the chart generation output means includes each risk factor specified by the risk factor specification means, and a specified disease, A Venn diagram showing a relationship with each disease for which a higher rank is obtained by the higher rank disease specifying means is generated .
In order to achieve the above object, the risk evaluation apparatus according to the second aspect of the present invention includes a risk information storage unit that stores a plurality of diseases and a plurality of risk factors that can cause each disease in association with each other. A diagram generation / output unit for generating and outputting a chart showing a mutual relationship between the plurality of diseases and the risk factor for a plurality of diseases selected from the plurality of diseases stored in the risk information storage unit; The selecting means for selecting an arbitrary disease in the chart generated by the chart generating / outputting means, and the disease selected by the selecting means in accordance with the relationship information (for example, category information) defining the hierarchical relationship between each disease Low-level disease specifying means for specifying low-order diseases (for example, subarachnoid hemorrhage, etc.), and the chart generation / output means specifies a plurality of diseases to be evaluated Input means for inputting designated information (for example, cerebral infarction, diabetes, etc.), and risk factors corresponding to each designated disease according to the designated information (for example, cerebral infarction, diabetes, etc.) inputted by the input means Risk factor specifying means specified from the risk information storage means, and a diagnostic value of the patient corresponding to the risk factor specified by the risk factor specifying means (for example, systolic blood pressure) (for example, systolic blood pressure “140.0 mmHg”) The diagnostic value acquisition means for acquiring a specific numerical value) and the diagnostic value acquired by the diagnostic value acquisition means are compared with a predetermined standard value, and the risk factor corresponding to the diagnostic value deviating from the standard value is A chart (for example, vector) showing the relationship between risk factor specifying means specified as factors, each risk factor specified by the risk factor specifying means, and each disease specified in the specified information. Output means for outputting the risk factor specified by the risk factor specifying means in a form that can specify the risk factor (for example, to make the risk factor conspicuous), and the risk factor specifying means specifies the subordinate disease The risk factor corresponding to each disease identified by the means is identified from the risk information storage means, and the chart generation output means includes each risk factor identified by the risk factor identification means, and the lower disease identification means A Venn diagram showing the relationship with each identified disease is generated.
In order to achieve the above object, a risk evaluation apparatus according to a third aspect of the present invention includes a risk information storage unit that stores a plurality of diseases in association with a plurality of risk factors that can cause each disease. A diagram generation / output unit for generating and outputting a chart showing a mutual relationship between the plurality of diseases and the risk factor for a plurality of diseases selected from the plurality of diseases stored in the risk information storage unit; , At least the risk factor specified by the risk factor specifying means is specified, and the risk of developing each disease (for example, the incidence of cerebral infarction “20%”, etc.) is determined by using a predetermined mathematical formula. Each of the risk value acquisition means to be obtained, wherein the chart generation output means inputs input information for specifying a plurality of diseases to be evaluated (for example, cerebral infarction, diabetes, etc.), and the input The risk factor specifying means for specifying the risk factor corresponding to each specified disease from the risk information storage means according to the specified information (for example, cerebral infarction, diabetes, etc.) input by the means, and the risk factor specifying means A diagnostic value acquisition means for acquiring a diagnostic value (for example, a specific numerical value such as “140.0 mmHg” of the maximum blood pressure) corresponding to the risk factor (for example, the maximum blood pressure) acquired by the diagnostic value acquisition means A risk factor specifying means for comparing a diagnostic value with a predetermined standard value and identifying a risk factor corresponding to a diagnostic value deviating from the standard value as a risk factor, and each risk factor specified by the risk factor specifying means , A chart generating means for generating a chart (for example, a Venn diagram) showing a relationship with each disease specified in the specified information, and a chart generated by the chart generating means, Output means for outputting the risk factor specified by the risk factor specifying means in a form that can be specified (for example, to make the risk factor conspicuous), the chart generation output means acquired by the risk value acquisition means A Venn diagram that includes the risk of onset corresponding to each disease and indicates the relationship between each risk factor and each disease is generated.
In order to achieve the above object, a risk evaluation apparatus according to a fourth aspect of the present invention includes a risk information storage unit that stores a plurality of diseases and a plurality of risk factors that can cause each disease in association with each other. A diagram generation / output unit for generating and outputting a chart showing a mutual relationship between the plurality of diseases and the risk factor for a plurality of diseases selected from the plurality of diseases stored in the risk information storage unit; More than a predetermined number of diseases are specified by relationship information storage means for storing relationship information (for example, category information) that defines a hierarchical relationship between each disease and specification information for specifying a plurality of diseases to be evaluated In the case of the above, according to the relationship information (for example, category information) stored in the relationship information storage means, a higher-ranking disease common to at least two of the specified diseases is identified. The chart generation output means obtains a diagnostic value corresponding to each risk factor (for example, a specific numerical value such as the maximum blood pressure “140.0 mmHg”) from the patient's diagnostic data. Comparing the diagnostic value acquired by the diagnostic value acquiring means and the diagnostic value acquiring means with a predetermined standard value, and identifying a risk factor corresponding to the diagnostic value deviating from the standard value as a risk factor Means specifying the disease (for example, cerebral infarction, diabetes, etc.) caused by the risk factor specified by the risk factor specifying means, and the disease specifying means specified from the risk information storage means A risk factor specifying means for specifying a risk factor corresponding to a disease, each risk factor specified by the risk factor specifying means, and a relationship between each disease specified by the specified information Output means for outputting a table (for example, a Venn diagram) in a form capable of specifying the risk factor specified by the risk factor specifying means (for example, to make the risk factor stand out), A Venn diagram showing the relationship between each risk factor specified by the risk factor specifying means and each disease for which a higher rank is determined by the higher rank disease specifying means among the specified diseases is generated .
In order to achieve the above object, a risk evaluation apparatus according to a fifth aspect of the present invention includes a risk information storage unit that stores a plurality of diseases and a plurality of risk factors that can cause each disease in association with each other. A diagram generation / output unit for generating and outputting a chart showing a mutual relationship between the plurality of diseases and the risk factor for a plurality of diseases selected from the plurality of diseases stored in the risk information storage unit; The selecting means for selecting an arbitrary disease in the chart generated by the chart generating / outputting means, and the disease selected by the selecting means in accordance with the relationship information (for example, category information) defining the hierarchical relationship between each disease Lower-level disease specifying means for specifying lower-level diseases (for example, subarachnoid hemorrhage, etc.), and the chart generation output means Diagnostic value acquisition means for acquiring a corresponding diagnostic value (for example, a specific numerical value such as the maximum blood pressure “140.0 mmHg”) and the diagnostic value acquired by the diagnostic value acquisition means are compared with a predetermined standard value. A risk factor corresponding to a diagnostic value that deviates from the standard value as a risk factor, and a risk factor that causes the risk factor identified by the risk factor identification means from the risk information storage means ( For example, a disease specifying means for specifying (cerebral infarction, diabetes, etc.), a risk factor specifying means for specifying a risk factor corresponding to the disease specified by the disease specifying means, and each risk factor specified by the risk factor specifying means, , A chart (for example, a Venn diagram) showing a relationship with each disease designated by the designation information in a form capable of identifying the risk factor identified by the risk factor identification means (for example, Output means for outputting a steep factor so that the risk factor specifying means specifies the risk factor corresponding to each disease specified by the subordinate disease specifying means from the risk information storage means, respectively. The chart generating / outputting unit generates a Venn diagram indicating a relationship between each risk factor specified by the risk factor specifying unit and each disease specified by the lower-level disease specifying unit.
In order to achieve the above object, a risk evaluation apparatus according to a sixth aspect of the present invention includes a risk information storage unit that stores a plurality of diseases in association with a plurality of risk factors that may cause each disease. A diagram generation / output unit for generating and outputting a chart showing a mutual relationship between the plurality of diseases and the risk factor for a plurality of diseases selected from the plurality of diseases stored in the risk information storage unit; , At least the risk factor specified by the risk factor specifying means is specified, and the risk of developing each disease (for example, the incidence of cerebral infarction “20%”, etc.) is determined by using a predetermined mathematical formula. Each of the obtained risk value obtaining means, and the chart generation / output means obtains a specific value such as a diagnostic value corresponding to each risk factor (for example, a maximum blood pressure “140.0 mmHg”) from the patient's diagnostic data. ) And a diagnostic value acquired by the diagnostic value acquisition unit are compared with a predetermined standard value, and a risk factor corresponding to a diagnostic value deviating from the standard value is specified as a risk factor A risk factor specifying means; a disease specifying means for specifying a disease (for example, cerebral infarction, diabetes, etc.) caused by the risk factor specified by the risk factor specifying means from the risk information storage means; and the disease specifying means A chart (for example, a Venn diagram) showing a relationship between a risk factor identifying means for identifying a risk factor corresponding to the disease identified by the risk factor, each risk factor identified by the risk factor identifying means, and each disease designated by the designation information Output means for outputting the risk factor specified by the risk factor specifying means in a form that can specify the risk factor (for example, to make the risk factor conspicuous). Means includes a risk value corresponding to each disease the risk value acquisition means has acquired, to produce a Venn diagram showing the relationship between the risk factors and each disease, characterized in that.

  According to this configuration, for example, the risk information storage unit stores, for example, a plurality of diseases in association with a plurality of risk factors (for example, HDL cholesterol, systolic blood pressure, etc.) that can cause each disease. The chart generating / outputting unit is, for example, a risk factor (for example, systolic blood pressure) corresponding to an arbitrary disease (for example, cerebral infarction, diabetes, etc.) stored in the risk information storage unit, and the risk factor is a factor causing the disease. A chart (for example, Venn diagram) showing the relationship with the disease to be generated is generated.

For example, the risk evaluation apparatus is predetermined by relationship information storage means for storing relationship information (for example, category information) that defines a hierarchical relationship between each disease and designation information for designating a plurality of diseases to be evaluated. When more than a number of diseases are designated, according to the relationship information (for example, category information) stored in the relationship information storage means, a higher rank disease common to at least two of the specified diseases is selected. A higher-level disease specifying means for specifying, wherein the chart generation / output means is determined by the higher-level disease specifying means for each risk factor specified by the risk factor specifying means and the specified disease. You may produce | generate the chart which shows the relationship with each disease.

The risk evaluation apparatus includes: a selection unit that selects an arbitrary disease in the chart generated by the chart generation / output unit; and a selection unit according to relation information (for example, category information) that defines a hierarchical relationship between each disease. lower falls disease selected diseases (e.g., subarachnoid hemorrhage, etc.) and lower disease specifying means for specifying respectively, further wherein the risk factors specifying unit in each disease identified by the lower disease specifying means Corresponding risk factors are respectively identified from the risk information storage means, and the chart generation output means determines the relationship between each risk factor identified by the risk factor identification means and each disease identified by the subordinate disease identification means. The chart shown may be generated.

  The risk evaluation apparatus specifies at least the value of the risk factor specified by the risk factor specifying means, uses a predetermined mathematical formula, and the like, for example, causes the risk of developing each disease (for example, cerebral infarction “20%”, etc. Risk value calculation means for calculating the risk rate of each disease, and the chart generation output means may generate a chart including risk values corresponding to each disease calculated by the risk value calculation means.

  The risk evaluation apparatus includes, for example, a risk value adjusting unit that adjusts an arbitrary onset risk value among the onset risk values calculated by the risk value calculating unit (for example, adjusts to an onset rate “15%” or the like); Target value calculating means for calculating the value of the changed risk factor as a target value by back-calculating the mathematical formula from the value adjusted by the value adjusting means, and the risk value calculating means includes the target value The risk value for each disease may be recalculated using the target value of the risk factor calculated by the calculating means in the mathematical formula.

In order to achieve the above object, a program according to a seventh aspect of the present invention is a risk information storage function for storing a plurality of diseases in association with a plurality of risk factors that can cause the onset of each disease. And a diagram generation output function for generating and outputting a chart showing a mutual relationship between the plurality of diseases and the risk factor for a plurality of diseases selected from the plurality of diseases stored in the risk information storage function More than a predetermined number of diseases are specified by a relationship information storage function that stores relationship information (for example, category information) that defines a hierarchical relationship between each disease and specification information for specifying a plurality of diseases to be evaluated In the case where the information is stored in the related information storage function (eg, category information), it is common to at least two of the designated diseases. And the chart generation / output function includes an input function for inputting the designation information (for example, cerebral infarction, diabetes, etc.), and designation information input by the input function ( For example, according to cerebral infarction, diabetes, etc.), the risk factor specifying function for specifying the risk factor corresponding to each specified disease from the risk information storage function, and the risk factor specified by the risk factor specifying function (for example, A diagnostic value acquisition function for acquiring a diagnostic value (for example, a specific numerical value such as a maximum blood pressure “140.0 mmHg”) corresponding to the hypertension, and a diagnostic value acquired by the diagnostic value acquisition function are predetermined. Compared with the standard value, a risk factor corresponding to a diagnostic value that deviates from the standard value is identified as a risk factor, and each risk factor identified by the risk factor identification function is identified. The risk factor identification function has identified a chart generation function that generates a chart (for example, a Venn diagram) that shows the relationship between the risk factor and each disease specified in the specified information, and a chart generated by the chart generation function An output function that outputs risk factors in a form that can be specified (for example, to make the risk factors stand out), wherein the chart generation output function is designated with each risk factor specified by the risk factor specification function. Among the diseases, a Venn diagram showing a relationship with each disease for which a higher rank is obtained by the higher rank disease specifying function is generated.
In order to achieve the above object, a program according to an eighth aspect of the present invention is a risk information storage function for storing a plurality of diseases in association with a plurality of risk factors that can cause the onset of each disease in a computer. And a diagram generation output function for generating and outputting a chart showing a mutual relationship between the plurality of diseases and the risk factor for a plurality of diseases selected from the plurality of diseases stored in the risk information storage function The disease selected by the selection function according to the selection function for selecting an arbitrary disease in the chart generated by the chart generation output function and the relationship information (for example, category information) that defines the hierarchical relationship between each disease A sub-disease specifying function that specifies each of the subordinate diseases (for example, subarachnoid hemorrhage, etc.), and the chart generation / output function is a plurality of evaluation targets. Corresponding to each specified disease according to the input function to input specified information (for example, cerebral infarction, diabetes, etc.) for specifying the disease and the specified information (for example, cerebral infarction, diabetes, etc.) input by the input function A risk factor specifying function for specifying a risk factor to be determined from the risk information storage function, and a diagnosis value of the patient corresponding to the risk factor (for example, systolic blood pressure) specified by the risk factor specifying function (for example, systolic blood pressure “140. A diagnostic value acquisition function for acquiring a specific numerical value such as “0 mmHg”, and a risk corresponding to a diagnostic value deviating from the standard value by comparing the diagnostic value acquired by the diagnostic value acquisition function with a predetermined standard value Indicates the relationship between the risk factor specifying function for specifying a factor as a risk factor, each risk factor specified by the risk factor specifying function, and each disease specified in the specified information An output function that outputs a table (for example, a Venn diagram) in a form that can identify the risk factor identified by the risk factor identification function (for example, to make the risk factor stand out), and the risk factor identification function includes: A risk factor corresponding to each disease identified by the lower disease identification function is identified from the risk information storage function, and the chart generation output function includes each risk factor identified by the risk factor identification function, and the lower level A Venn diagram showing a relationship with each disease specified by the disease specifying function is generated.
In order to achieve the above object, a program according to the ninth aspect of the present invention is a risk information storage function for storing a plurality of diseases in association with a plurality of risk factors that can cause each disease in a computer. And a diagram generation output function for generating and outputting a chart showing a mutual relationship between the plurality of diseases and the risk factor for a plurality of diseases selected from the plurality of diseases stored in the risk information storage function And at least the risk factor value specified by the risk factor specifying function, and using a predetermined mathematical formula, for example, the risk of developing each disease (for example, the incidence of cerebral infarction “20%”, etc.) A risk value acquisition function for obtaining each of the data, and the chart generation / output function inputs input information for specifying a plurality of diseases to be evaluated (for example, cerebral infarction, diabetes, etc.). A risk factor specifying function for specifying a risk factor corresponding to each specified disease from the risk information storage function according to the function and specified information (for example, cerebral infarction, diabetes, etc.) input by the input function, and the risk A diagnostic value acquisition function for acquiring a diagnostic value (for example, a specific numerical value such as the maximum blood pressure “140.0 mmHg”) corresponding to the risk factor (for example, the maximum blood pressure) specified by the factor specifying function; The diagnostic value acquired by the acquisition function is compared with a predetermined standard value, and the risk factor identification function that identifies the risk factor corresponding to the diagnostic value that deviates from the standard value as a risk factor, and the risk factor identification function identifies The chart generation function for generating a chart (for example, Venn diagram) showing the relationship between each risk factor and each disease specified in the specified information, and the chart generation function An output function that outputs the risk factor specified by the risk factor specifying function in a form that can specify the risk factor (for example, to make the risk factor conspicuous), and the chart generation output function includes the risk value The acquisition function includes a risk value corresponding to each acquired disease, and generates a Venn diagram indicating the relationship between each risk factor and each disease.
In order to achieve the above object, a program according to a tenth aspect of the present invention is a risk information storage function for storing a plurality of diseases in association with a plurality of risk factors that can cause the onset of each disease. And a diagram generation output function for generating and outputting a chart showing a mutual relationship between the plurality of diseases and the risk factor for a plurality of diseases selected from the plurality of diseases stored in the risk information storage function More than a predetermined number of diseases are specified by a relationship information storage function that stores relationship information (for example, category information) that defines a hierarchical relationship between each disease and specification information for specifying a plurality of diseases to be evaluated The common information is shared by at least two of the designated diseases according to the relationship information (eg, category information) stored in the relationship information storage function. And a chart generation / output function is used to generate a diagnostic value corresponding to each risk factor (for example, a specific value such as a maximum blood pressure “140.0 mmHg”) from the patient's diagnostic data. A diagnostic value acquisition function for acquiring a diagnostic value and a diagnostic value acquired by the diagnostic value acquisition function are compared with a predetermined standard value, and a risk factor corresponding to a diagnostic value deviating from the standard value is determined as a risk factor. A risk factor identification function that identifies the disease caused by the risk factor identified by the risk factor identification function (for example, cerebral infarction, diabetes, etc.), A risk factor identifying function for identifying a risk factor corresponding to the disease identified by the disease identifying function, each risk factor identified by the risk factor identifying function, and each specified by the designation information An output function for outputting a chart (for example, a Venn diagram) showing a relationship with a patient in a form capable of specifying the risk factor specified by the risk factor specifying function (for example, to make the risk factor stand out), The chart generation output function generates a Venn diagram indicating a relationship between each risk factor specified by the risk factor specifying function and each disease for which a higher rank is determined by the higher-level disease specifying function among the specified diseases. It is characterized by that.
In order to achieve the above object, a program according to an eleventh aspect of the present invention is a risk information storage function for storing a plurality of diseases in association with a plurality of risk factors that can cause each disease. And a diagram generation output function for generating and outputting a chart showing a mutual relationship between the plurality of diseases and the risk factor for a plurality of diseases selected from the plurality of diseases stored in the risk information storage function The disease selected by the selection function according to the selection function for selecting an arbitrary disease in the chart generated by the chart generation output function and the relationship information (for example, category information) that defines the hierarchical relationship between each disease A sub-disease specifying function that specifies each of the subordinate diseases (for example, subarachnoid hemorrhage, etc.). Further, a diagnostic value acquisition function for acquiring a diagnostic value corresponding to each risk factor (for example, a specific numerical value such as a maximum blood pressure “140.0 mmHg”) and a diagnostic value acquired by the diagnostic value acquisition function are determined in advance. A risk factor identifying function that identifies a risk factor corresponding to a diagnostic value that deviates from the standard value as a risk factor, and a risk factor identified by the risk factor identifying function from the risk information storage function. A disease specifying function for specifying a disease that causes onset (for example, cerebral infarction, diabetes, etc.), a risk factor specifying function for specifying a risk factor corresponding to a disease specified by the disease specifying function, and the risk factor specifying function A chart (eg Venn diagram) showing the relationship between each identified risk factor and each disease specified by the specified information can identify the risk factor specified by the risk factor specifying function An output function for outputting the risk factor in a form (for example, so as to make the risk factor conspicuous), and the risk factor identification function includes a risk factor corresponding to each disease identified by the lower-level disease identification function as the risk information. Each of the memory functions is specified, and the chart generation / output function generates a Venn diagram indicating a relationship between each risk factor specified by the risk factor specifying function and each disease specified by the lower-level disease specifying function. And
In order to achieve the above object, a program according to a twelfth aspect of the present invention is a risk information storage function for storing a plurality of diseases in association with a plurality of risk factors that can cause each disease in a computer. And a diagram generation output function for generating and outputting a chart showing a mutual relationship between the plurality of diseases and the risk factor for a plurality of diseases selected from the plurality of diseases stored in the risk information storage function And at least the risk factor value specified by the risk factor specifying function, and using a predetermined mathematical formula, for example, the risk of developing each disease (for example, the incidence of cerebral infarction “20%”, etc.) And the chart generation / output function obtains a diagnostic value corresponding to each risk factor from the patient's diagnostic data (for example, a maximum blood pressure “140.0 mmH”). A diagnostic value acquisition function for acquiring a specific numerical value such as "" and a risk factor corresponding to a diagnostic value deviating from the standard value by comparing the diagnostic value acquired by the diagnostic value acquisition function with a predetermined standard value Identifying a disease (for example, cerebral infarction, diabetes, etc.) that causes the risk factor identified by the risk factor identifying function from the risk factor identifying function and the risk information storage function A function, a risk factor specifying function for specifying a risk factor corresponding to the disease specified by the disease specifying function, a relationship between each risk factor specified by the risk factor specifying function and each disease specified by the specified information An output function that outputs a chart (for example, a Venn diagram) indicating the risk factor specified by the risk factor specifying function in a form that can specify the risk factor (for example, to make the risk factor stand out). , Said figure generating output function, including the risk value corresponding to each disease the risk value acquiring function acquires and generates a Venn diagram showing the relationship between the risk factors and each disease, characterized in that.

  According to the present invention, the relationship between a plurality of risk factors and a plurality of diseases can be clearly presented.

  Hereinafter, a risk evaluation apparatus according to an embodiment of the present invention will be described with reference to the drawings.

  FIG. 1 is a schematic diagram showing an example of the configuration of a risk evaluation apparatus (evaluation system) 1 according to an embodiment of the present invention. As illustrated, the risk evaluation apparatus 1 includes an input unit 11, an output unit 12, a standard value DB (database) 13, a risk DB 14, an information acquisition unit 15, and a control unit 16.

  The risk evaluation apparatus 1 is composed of, for example, an information processing device such as a personal computer or a workstation, and can read information recorded on the recording medium 2. The recording medium 2 is composed of a CD-ROM (Compact Disk Read Only Memory), a flexible disk, or the like, in which personal medical information as shown in FIG. 2 is recorded.

  As shown in the figure, personal medical information includes information such as patient ID (identification information), age, sex, systolic blood pressure, HDL cholesterol, total cholesterol and the like. Note that systolic blood pressure, HDL cholesterol, and total cholesterol are risk factors that can be indicated by indices, and are indicated by, for example, measured values (indexes) obtained by actually performing a health examination of each patient.

  Returning to FIG. 1, the input unit 11 includes input devices such as a keyboard and a mouse. For example, information for designating a plurality of diseases to be selected is input to the input unit 11 by a user operation. The input unit 11 supplies the input information to the control unit 16.

  The output unit 12 includes, for example, a display device such as a CRT (Cathode Ray Tube) display and LCD (Liquid Crystal Display), and an output device such as a printer. The output unit 12 displays, for example, a Venn diagram indicating the relationship between a plurality of risk factors and a plurality of diseases according to the information supplied from the control unit 16.

  The standard value DB 13 is composed of a rewritable storage device such as a hard disk. The standard value DB 13 stores information indicating the standard range of each inspection item measured in a medical examination or the like. For example, standard range value information as shown in FIG. 3 is stored in advance. This standard range value information is defined by a predetermined guideline, and defines standard ranges such as systolic blood pressure, HDL cholesterol, total cholesterol and the like corresponding to the personal medical information of FIG. 2 described above. Items that deviate from this standard range (risk factors) are risk factors having an index to be noted.

  The risk DB 14 includes a rewritable storage device such as a hard disk, and stores disease risk factor information, disease category related information, and the like.

  The disease risk factor information is information that defines the relationship between a disease and a risk factor related to the disease, as illustrated in FIG. For example, risk factors such as systolic blood pressure, HDL cholesterol, and BMI are associated with lacunar infarction. That is, when the systolic blood pressure, HDL cholesterol, BMI, etc. deviate from the standard values (the above-mentioned standard range values), it becomes a risk factor (risk factor to be aware of the onset of lacunar infarction) that can cause lacunar infarction.

  As illustrated in FIGS. 5A to 5C, the disease category-related information has a category structure in which diseases are systematized according to pathological conditions, and is information that defines a relationship with other diseases in stages.

  Specifically, referring to FIG. 5A, “cerebral infarction” has parent information “stroke” and child information “lacuna infarction, atheroma infarction”. Referring to FIG. 5B, the parent information of “Lucuna infarction” is “cerebral infarction”, and no child information is defined. Referring to FIG. 5C, “stroke” does not define parent information and child information is “cerebral hemorrhage, cerebral infarction”.

  From such disease category-related information, each disease can be represented by a tree diagram as illustrated in FIG. FIG. 6 is a dendrogram showing a category structure focused on stroke.

  In addition, the risk factor relevant to the disease of category level 1 can be obtained from the disease risk factor information of FIG. That is, a tree diagram including the association of risk factors as shown in FIG. 6 can be formed from the information shown in FIGS.

  Returning to FIG. 1, the information acquisition unit 15 is an auxiliary storage device corresponding to the recording medium 2, and includes, for example, a flexible disk drive, a CD-ROM drive, and the like. The information acquisition unit 15 reads, for example, personal medical information as shown in FIG. 2 described above from the recording medium 2 and supplies the read information to the control unit 16.

  The control unit 16 includes, for example, a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM (Random Access Memory), and the like, and controls the entire risk evaluation apparatus 1. For example, the control unit 16 reads a program stored in advance in a ROM or the like, executes a Venn diagram creation process, which will be described later, and creates a Venn diagram showing the relationship between a plurality of risk factors and a plurality of diseases.

  Hereinafter, the operation of the risk evaluation apparatus 1 according to the embodiment of the present invention will be specifically described with reference to the drawings.

  First, the Venn diagram creation process 1 corresponding to the case where there are two target diseases will be described with reference to the flowchart of FIG.

  It is assumed that the risk evaluation apparatus 1 (information acquisition unit 15) is provided with a readable state of the recording medium 2 on which personal medical information is recorded in advance. Then, the risk evaluation apparatus 1 starts the Venn diagram creation process 1 in response to an input operation for designating a target patient (patient ID or the like) and a target disease (disease name or the like) by the user.

  First, the control part 16 extracts the risk factor of a some disease from the disease risk factor information memorize | stored in risk DB14 corresponding to the designated disease (step S11). For example, when two diseases of “lacuna infarction” and “myocardial infarction” are designated, the control unit 16 determines the risk factors of “lacuna infarction” and “myocardial infarction” from the disease risk factor information illustrated in FIG. “Maximum blood pressure, HDL cholesterol, BMI, presence / absence of electrocardiogram abnormality, gene 1, total cholesterol” are extracted and read.

  The control unit 16 extracts and reads out the measurement result of the item corresponding to the risk factor extracted in Step S11 from the personal medical information of the designated patient (Step S12). For example, the control unit 16 extracts “high blood pressure (142.9 mmHg)” and “HDL cholesterol (119.7 mg / dL) corresponding to the risk factors extracted from the personal medical information of the patient ID“ A001 ”shown in FIG. ) ”,“ Total cholesterol (164.9 mg / dL) ”, and the like.

  The control unit 16 extracts and reads out the standard range value of the item corresponding to the risk factor extracted in step S11 from the standard range value information stored in the standard value DB 13 (step S13). For example, from the standard range value information shown in FIG. 3, the control unit 16 selects “high blood pressure (> 130.0 mmHg), HDL cholesterol (100.0 md / dL), total cholesterol (230 .0 md / dL) ”and the like.

  The control unit 16 determines whether or not the information read in step S12 is within the standard range value read in step S13 (step S14). That is, it is determined whether or not the measurement value (specified patient personal medical information) corresponding to the risk factor is within the standard range value. And when all the information read in step S12 is in a standard range value (step S14; Yes), the control part 16 advances a process to step S16.

  On the other hand, when there is information on a risk factor that is not within the standard range value (step S14; No), the control unit 16 specifies information on the risk factor that is not within the standard range value (step S15). For example, in the case of the patient ID “A001” shown in FIG. 2, since “maximum blood pressure, HDL cholesterol” is out of the standard range value, the control unit 16 specifies these as risk factors to be noted.

  The control unit 16 creates a Venn diagram so as to share the risk factors common to the diseases, displays the Venn diagram on the output unit 12, and ends this processing (step S16). In addition, when the risk factor (risk factor to be noted) deviating from the standard range value is specified in step S15, the control unit 16 changes the color or bold to make the specified risk factor stand out. Displayed after processing. For example, the control unit 16 creates and displays a Venn diagram as illustrated in FIG. That is, the “risk blood pressure, HDL cholesterol”, which is a risk factor to be noted, is highlighted with a black color (black circle).

  By this Venn diagram creation processing 1, the risk evaluation apparatus 1 creates and clearly shows a Venn diagram so that the risk factors to be noted are conspicuous. For this reason, a patient etc. can understand the disease which should be careful intuitively. In addition, since the relationship with related diseases can be understood, it is also effective in preventing diseases. For example, when the Venn diagram shown in FIG. 8 is created, it can be seen that the patient has a high probability of suffering from “lacuna infarction”. It can also be understood that “HDL cholesterol” needs to be noted in order to reduce the probability of suffering “myocardial infarction”.

  In the Venn diagram creation process 1 described above, the case where a Venn diagram is created for two diseases has been described. However, the number of target diseases can be increased. However, up to three target diseases can be clearly shown as easy-to-understand Venn diagrams. In other words, if there are more than three target diseases, it cannot be displayed as an easy-to-understand Venn diagram. Therefore, it is necessary to keep the number of diseases displayed on the Venn diagram within three.

  Hereinafter, the Venn diagram creation process 2 corresponding to the case where more than three diseases are designated will be described with reference to the flowchart of FIG.

  As described above, the tree diagram illustrated in FIG. 6 is conceptually formed from the disease risk factor information illustrated in FIGS. 4 and 5 and the disease category relationship information. In addition, as shown in FIG. 6, it is assumed that the risk factor is associated with only the disease of category level 1. Similarly, the risk evaluation apparatus 1 (information acquisition unit 15) can read out the recording medium 2, and designates a target patient (patient ID, etc.) and a target disease (disease name, etc.) by the user. The Venn diagram creation process 2 is started in response to the input operation.

  First, the control unit 16 determines whether or not there are more than three designated diseases (step S21). When it is determined that there are more than three identified diseases (step S21; Yes), the control unit 16 obtains parent information (parent disease) of the designated disease from the disease category related information in the risk DB 14. Specify (step S22). For example, when four diseases of “lacuna infarction, atherosclerotic infarction, cardiogenic infarction, subarachnoid hemorrhage” are designated, the control unit 16 performs “subarachnoid hemorrhage” as shown in FIG. “Cerebral hemorrhage” which is the parent information of “Lacuna infarction”, and “cerebral infarction” which is the parent information of “lacuna infarction, atherosclerotic infarction, cardiogenic infarction” are specified.

  The control unit 16 determines whether or not the specified parent information is within three (step S23). When it is determined that the identified parent information is not within three (exceeds three) (step S23; No), the control unit 16 returns the process to step S22. That is, when there are more than three parent diseases, parent information is further specified from the diseases.

  On the other hand, when it is determined that the specified parent information is within three (step S23; Yes), the control unit 16 reads out the child information of the parent information from the disease category relation information of the risk DB 14, and the risk factor corresponds. The attached category level 1 disease is identified (step S24). For example, when the parent information is “cerebral hemorrhage, cerebral infarction”, the control unit 16 specifies “subarachnoid hemorrhage, intracerebral hemorrhage” as child information of “cerebral hemorrhage” as shown in FIG. The child information of “cerebral infarction” is identified as “lacuna infarction, atherosclerotic infarction, cardiogenic infarction”.

  The control unit 16 extracts risk factors for a plurality of diseases identified in step S24 from the disease risk factor information in the risk DB 14 (step S25). For example, when category level 1 “subarachnoid hemorrhage, intracerebral hemorrhage, lacunar infarction, atherosclerotic infarction, cardiogenic infarction” is specified, the control unit 16 displays “risk factor” as shown in FIG. “A, risk factor B, risk factor C, risk factor D, risk factor E” are extracted.

  The control unit 16 extracts and reads out the measurement result of the item corresponding to the risk factor extracted in Step S25 from the personal medical information of the designated patient (Step S26).

  The control unit 16 extracts and reads out the standard range value of the item corresponding to the risk factor extracted in step S25 from the standard range value information stored in the standard value DB 13 (step S27).

  The controller 16 determines whether or not the information read in step S26 is within the standard range value read in step S27 (step S28). When all the information read in step S26 is within the standard range value (step S28; Yes), the control unit 16 advances the process to step S30.

  On the other hand, when there is information on a risk factor that is not within the standard range value (step S28; No), the control unit 16 specifies information on the risk factor that is not within the standard range value (step S29). For example, when “risk factor A, risk factor D” deviates from the standard range, the control unit 16 specifies these as risk factors to be noted.

  The control unit 16 creates a Venn diagram so as to share the risk factors common to the diseases, displays the Venn diagram on the output unit 12, and ends this process (step S30). In addition, when the risk factor (risk factor to be aware of) deviating from the standard range value is specified in step S28, the control unit 16 similarly performs processing that makes the specified risk factor stand out and displays it. . For example, as illustrated in FIG. 10, the control unit 16 creates and displays a Venn diagram in which “risk factor A, risk factor D”, which are risk factors to be noted, are plotted with black colors (black circles) and made conspicuous. To do.

  When it is determined in step S21 that the number of identified diseases does not exceed three (within three) (step S21; No), the control unit 16 performs the Venn diagram creation process 1 shown in FIG. The process proceeds to step S11.

  Even if the target disease exceeds 3 by this Venn diagram creation processing 2, the risk evaluation device 1 can identify the disease that is the parent information and create and clearly indicate a Venn diagram that is easy to understand. For example, even if four diseases such as “lacuna infarction, atherosclerotic infarction, cardiogenic infarction, and subarachnoid infarction” are designated, “cerebral hemorrhage, cerebral infarction” as parent information of these diseases is identified, As shown in FIG. 10, the relationship between these diseases and risk factors is displayed in a Venn diagram. When the Venn diagram shown in FIG. 10 is displayed, it can be seen that the patient has a high probability of suffering from “cerebral infarction”, and in order to reduce the probability of suffering from “cerebral hemorrhage”, particularly pay attention to “risk factor A”. You can understand that you need to.

  In the above-described Venn diagram creation processing 1 and Venn diagram creation processing 2, the user designates a target disease and creates a Venn diagram. However, the operation of the risk evaluation apparatus 1 according to the embodiment of the present invention is not limited to this. For example, a disease containing a risk factor may be specified from the patient's personal medical information. Hereinafter, the Venn diagram creation process 3 for automatically specifying a disease will be described with reference to the flowchart of FIG.

  It is assumed that the risk evaluation apparatus 1 (information acquisition unit 15) is provided with a readable state of the recording medium 2 on which personal medical information is recorded in advance. And the risk evaluation apparatus 1 starts the Venn diagram creation process 3 according to input operation for designating the patient (patient ID etc.) of object by a user.

  First, the control part 16 reads the measurement result of the item applicable to a risk factor from the personal medical information of the designated patient recorded on the recording medium 2 (step S31). For example, “maximum blood pressure (142.9 mmHg), HDL cholesterol (119.7 mg / dL)” and the like are read out.

  The control unit 16 extracts and reads out the standard range value of the item corresponding to the risk factor read in step S31 from the standard range value information stored in the standard value DB 13 (step S32). For example, the control unit 16 obtains information such as “high blood pressure (> 130.0 mmHg), HDL cholesterol (100.0 md / dL)” corresponding to the extracted risk factor from the standard range value information shown in FIG. read out.

  The control unit 16 compares the information read in step S31 with the information read in step S32, and identifies a risk factor that is not within the standard range value. (Step S33). That is, the control unit 16 identifies information on risk factors that are not within the standard range value. For example, in the case of the patient ID “A001” shown in FIG. 2, since “maximum blood pressure, HDL cholesterol” is out of the standard range value, the control unit 16 specifies these as risk factors to be noted.

  The control unit 16 identifies a disease having the risk factor to be noted identified in step S33 as a cause of the disease (step S34). For example, referring to FIG. 8, the disease “lacuna infarction” has “BMI, systolic blood pressure, HDL cholesterol, presence or absence of abnormal electrocardiogram” as risk factors. Among the risk factors possessed by “lacuna infarction”, “high blood pressure, HDL cholesterol” that is a risk factor to be noted is included. For this reason, the control unit 16 specifies the disease “lacuna infarction”.

  The control unit 16 determines whether there are more than three identified diseases (step S35). When it is determined that the number of identified diseases does not exceed three (within three) (step S35; No), the control unit 16 advances the process to step S39.

  On the other hand, if it is determined that there are more than three identified diseases (step S35; Yes), the control unit 16 uses the parent information of the designated disease (the parent disease) as the disease category relationship of the risk DB 14. The information is specified (step S36). For example, when four diseases of “lacuna infarction, atherosclerotic infarction, cardiogenic infarction, subarachnoid hemorrhage” are designated, the control unit 16 performs “subarachnoid hemorrhage” as shown in FIG. “Cerebral hemorrhage” which is the parent information of “Lacuna infarction”, and “cerebral infarction” which is the parent information of “lacuna infarction, atherosclerotic infarction, cardiogenic infarction” are specified.

  The control unit 16 determines whether or not the specified parent information is within three (step S37). When it is determined that the identified parent information is not within three (exceeds three) (step S37; No), the control unit 16 returns the process to step S36. That is, when there are more than three parent diseases, parent information is further specified from the diseases.

  On the other hand, when it is determined that the specified parent information is within three (step S37; Yes), the control unit 16 reads out the child information of the parent information from the disease category relation information of the risk DB 14, and the risk factor corresponds. The attached category level 1 disease is identified (step S38). For example, when the parent information is “cerebral hemorrhage, cerebral infarction”, the control unit 16 specifies “subarachnoid hemorrhage, intracerebral hemorrhage” as child information of “cerebral hemorrhage” as shown in FIG. The child information of “cerebral infarction” is identified as “lacuna infarction, atherosclerotic infarction, cardiogenic infarction”.

  The control unit 16 extracts risk factors for a plurality of diseases identified in step S34 or step S36 from the disease risk factor information in the risk DB 14 (step S39). For example, when category level 1 “subarachnoid hemorrhage, intracerebral hemorrhage, lacunar infarction, atherosclerotic infarction, cardiogenic infarction” is specified, the control unit 16 displays “risk factor” as shown in FIG. “A, risk factor B, risk factor C, risk factor D, risk factor E” are extracted.

  The control unit 16 creates a Venn diagram so as to share the risk factors common to the diseases, displays the Venn diagram on the output unit 12, and ends the process (step S40). Note that risk factors (specified risk factors) deviating from the standard range value are displayed with a conspicuous process. For example, as illustrated in FIG. 10, the control unit 16 creates and displays a Venn diagram in which “risk factor A, risk factor D”, which are risk factors to be noted, are plotted with black colors (black circles) and made conspicuous. To do.

  By this Venn diagram creation process 3, it is possible to create and clearly indicate a risk factor to be noted and a Venn diagram of a disease related to the risk factor without specifying a target disease. Similarly to the Venn diagram creation process 2, the risk evaluation apparatus 1 can identify a disease as parent information and create and clearly indicate a Venn diagram even if the target disease is specified to exceed 3. .

In the above-described Venn diagram creation processing 2 and Venn diagram creation processing 3, when more than three diseases are specified, by specifying the disease that is the parent information, the number of diseases displayed on the Venn diagram can be kept within three explained. In this case, it is more useful if the disease to be displayed (the disease that becomes the parent information) is selected and the Venn diagram of the risk factor for the disease that becomes the child information can be displayed.
For example, in the case of the Venn diagram of FIG. 10 described above, it can be seen that the disease to be particularly noted is “cerebral infarction”. Therefore, if this “cerebral infarction” is selected and a Venn diagram of the underlying disease can be displayed, the patient or the like can grasp the relationship between the disease and the risk factor in more detail.

  Hereinafter, the Venn diagram creation process 4 for selecting the disease displayed in the Venn diagram and displaying the Venn diagram of the underlying disease will be described with reference to the flowchart of FIG.

  The risk evaluation apparatus 1 (information acquisition unit 15) executes the above-described Venn diagram creation processing 2 or Venn diagram creation processing 3, and displays a Venn diagram (Ven diagram for diseases of category level 2 or higher) as shown in FIG. In this state, the Venn diagram creation process 4 is started in response to an input operation for selecting one disease by the user.

  First, the control unit 16 specifies the child information (the disease that becomes a child) of the selected disease from the disease category related information in the risk DB 14 (step S41). For example, when “cerebral infarction” whose onset is to be noted is selected from the Venn diagram illustrated in FIG. 10, the control unit 16, as shown in FIG. , Atherosclerotic, cardiogenic infarction.

  The control unit 16 determines whether or not the specified child information is within three (step S42). When it is determined that there are three or less identified diseases (step S42; Yes), the control unit 16 extracts risk factors for a plurality of diseases identified in step S41 from the disease risk factor information in the risk DB 14. (Step S43). For example, when the category level 1 “lacuna infarction, atherosclerotic infarction, cardiogenic infarction” is specified, the control unit 16 displays “risk factor A, risk factor B, risk factor as shown in FIG. “C, risk factor D, risk factor E” are extracted.

  The control unit 16 extracts and reads out the measurement result of the item corresponding to the risk factor extracted in step S43 from the personal medical information (step S44).

  The control unit 16 extracts and reads out the standard range value of the item corresponding to the risk factor extracted in step S43 from the standard range value information stored in the standard value DB 13 (step S45).

  The control unit 16 determines whether or not the information read in step S44 is within the standard range value read in step S45 (step S46). When all the information read in step S44 is within the standard range value (step S46; Yes), the control unit 16 advances the process to step S48.

  On the other hand, when the information read out in step S44 includes information on a risk factor that is not within the standard range value (step S46; No), the control unit 16 identifies information on the risk factor that is not within the standard range value. (Step S47). For example, when “risk factor A, risk factor D” deviates from the standard range, the control unit 16 specifies these as risk factors to be noted.

  The control unit 16 creates a Venn diagram so as to share a common risk factor between diseases, displays it on the output unit 12, and ends this processing (step S48). Note that risk factors that deviate from the standard range values (risk factors to be noted) are displayed with noticeable processing. For example, as illustrated in FIG. 13, the control unit 16 creates and displays a Venn diagram in which “risk factor A, risk factor D”, which are risk factors to be noted, are plotted with black colors (black circles) and made conspicuous. To do.

  If it is determined in step S42 that the identified diseases are not within three (exceeds three) (step S42; No), the control unit 16 performs the Venn diagram creation process 2 shown in FIG. The process proceeds to step S22.

  Since the Venn diagram of the underlying disease is displayed by the Venn diagram creation process 4, the patient or the like can grasp the disease that should be carefully digged down in stages and the risk factors related to the disease. For example, when “cerebral infarction” is selected from the Venn diagram in FIG. 10, “lachna infarction, atherosclerotic infarction, cardiogenic infarction” as child information thereof is specified, and as shown in FIG. The relationship with factors is displayed in a Venn diagram. When the Venn diagram shown in FIG. 13 is displayed, it can be seen that the patient has a high probability of suffering from atherosclerotic infarction, and the relationship with other diseases can be intuitively understood.

  As described above, the risk evaluation device 1 can clearly present the relationship between a plurality of risk factors and a plurality of diseases. As a result, an individual such as a patient can understand at a glance what the particular points should be noted. In addition, medical personnel and the like can easily explain the relationship between a disease that can develop and its etiology to patients and the like.

The present invention is not limited to the above embodiment, and various modifications and applications are possible. For example, in the above-described embodiment, a case has been described in which relationships between a plurality of risk factors and a plurality of diseases are presented. However, the onset risk (onset rate%) of the disease is calculated, and the calculated onset risk is also displayed. You may do it.
For example, as shown in FIG. 14, when the Venn diagram of “diabetes, cerebral infarction, myocardial infarction” is displayed, the risk of developing these diseases is calculated.
Specifically, the control unit 16 calculates the onset risk (%) of each disease using the following formula 1.

(Equation 1)
Y = (a1X1 + a2X2 + a3X3 + ...)
Y: Risk of onset a: Each risk factor parameter X: Each risk factor

  In addition, the user can set the target value (%) of the onset risk, and when the setting is reflected, the incidence of other diseases and the specific value of the risk factor to be noted are calculated. May be clearly indicated.

In this case, the risk DB 14 further stores risk evaluation function information as illustrated in FIG. The risk evaluation function information includes information such as a disease name, a risk factor, a risk factor parameter, and possibility of adjustment.
The risk factor parameter is a coefficient corresponding to each risk factor, and affects the onset of the disease together with the value of the risk factor. Moreover, the possibility of adjustment indicates whether or not the numerical value can be adjusted for each risk factor. Specifically, when the risk factor is “weight”, the value can be adjusted (increased or decreased). On the other hand, when the risk factor is “gene 1”, the value is a fixed value and cannot be adjusted.

  That is, the control unit 16 sets Y (risk risk) in the above-described formula 1 as a target value, and calculates the value of X (risk factor) in reverse. At that time, the control unit 16 refers to the risk evaluation function information of FIG. 15 and appropriately changes only the adjustable risk factor to obtain the value of X (risk factor).

For example, as illustrated in FIG. 16, when “cerebral infarction” is selected and a target value “20%” is input by the user, the control unit 16 uses the risk evaluation function information to display “risk factor A, risk Factor D ”is identified as an adjustable risk factor. Then, the value of the identified risk factor is calculated using Formula 1 and the risk factor parameter so that the onset risk Y becomes the target value (20%).
When the extracted adjustable risk factor is shared with other diseases, the control unit 16 calculates the risk of developing the shared disease using the calculated risk factor value.

  Then, as illustrated in FIG. 17, the incidence of other diseases when the target value of “cerebral infarction” is set to “20%” and specific values of risk factors to be noted are displayed. . In this case, “30” and “120” are clearly specified as the risk factor values in “risk factor A” and “risk factor D”. Moreover, since “risk factor A” is a risk factor shared with “diabetes”, the risk of developing diabetes is changed to “35%”.

  In this way, by displaying the onset risk and making it possible to set the target value of the onset risk, it becomes easy to find meaningful associations and patterns from the information shown in the Venn diagram, and patients should be aware of it. Effective for grasping the index values of risk factors and target risk factors.

Moreover, each structure in said risk evaluation apparatus 1 can be changed arbitrarily. For example, in the above embodiment, the disease category related information stored in the risk DB 14 is shown in the category structure for each disease state as shown in FIG. However, disease category-related information indicated by other category structures may be used. For example, as illustrated in FIG. 18, disease category-related information indicated by a category structure for each disease-generating organ may be used. Furthermore, disease category related information indicated by a category structure from another viewpoint may be used.
Further, the risk evaluation apparatus 1 is not limited to a single computer, and may be composed of a plurality of computer systems operating in cooperation.

  Note that the risk evaluation apparatus according to the embodiment of the present invention can be realized by using a normal computer system without using a dedicated apparatus. For example, by installing the program from a medium (flexible disk, CD-ROM, DVD-ROM, etc.) storing a program for executing any of the above in a computer having a network card or the like, the above-described processing is performed. A risk evaluation apparatus to be executed can be configured.

A method for supplying the program to the computer is arbitrary. For example, you may supply via a communication line, a communication network, a communication system, etc. As an example, the program is posted on a bulletin board (BBS) of a communication network, and the program is superimposed on a carrier wave and distributed via the network.
Then, the above-described processing can be executed by starting this program and executing it in the same manner as other application programs under the control of the OS.

It is a block diagram which shows an example of a structure of the risk evaluation apparatus which concerns on embodiment of this invention. It is a schematic diagram which shows an example of the personal medical information recorded on a recording medium. It is a schematic diagram which shows an example of the standard range value information memorize | stored in standard value DB. It is a schematic diagram which shows an example of the disease risk factor information memorize | stored in risk DB. It is a schematic diagram which shows an example of the disease category relation information memorize | stored in risk DB. FIG. 6 is a tree diagram illustrating an example of a category structure of disease category-related information illustrated in FIG. 5. It is a flowchart for demonstrating the Venn diagram creation process 1 which a risk evaluation apparatus performs. It is a schematic diagram which shows an example of the Venn diagram created in the Venn diagram creation process 1. FIG. It is a flowchart for demonstrating the Venn diagram creation process 2 which a risk evaluation apparatus performs. It is a schematic diagram which shows an example of the Venn diagram created in the Venn diagram creation process 2. FIG. It is a flowchart for demonstrating the Venn diagram creation process 3 which a risk evaluation apparatus performs. It is a flowchart for demonstrating the Venn diagram creation process 4 which a risk evaluation apparatus performs. It is a schematic diagram which shows an example of the Venn diagram created in the Venn diagram creation process 4. It is a schematic diagram which shows an example of a Venn diagram created by a Venn diagram creation process. It is a schematic diagram which shows an example of the risk evaluation function information memorize | stored in risk DB. It is a schematic diagram which shows an example of a Venn diagram created when the function using Numerical formula 1 is added. It is a schematic diagram which shows an example of the Venn diagram created when the function using Numerical formula 1 is added. It is a schematic diagram which shows an example of the disease category relation information memorize | stored in risk DB.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Risk evaluation apparatus 2 Recording medium 11 Input part 12 Output part 13 Standard value DB
14 Risk DB
15 Information acquisition unit 16 Control unit

Claims (16)

A risk information storage means for storing a plurality of diseases in association with a plurality of risk factors that can cause each disease;
For a plurality of diseases selected from a plurality of diseases stored in the risk information storage means, a diagram generation output means for generating and outputting a chart showing a correlation between the plurality of diseases and their risk factors;
Relationship information storage means for storing relationship information defining a hierarchical relationship between each disease;
When more than a predetermined number of diseases are designated by the designation information for designating a plurality of diseases to be evaluated, at least of the designated diseases according to the relationship information stored in the relationship information storage means Upper disease identification means for identifying upper disease common to two diseases,
With
The chart generation output means
Input means for inputting the designation information;
Risk factor specifying means for specifying risk factors corresponding to each specified disease from the risk information storage means according to the specification information input by the input means;
A diagnostic value acquisition means for acquiring a diagnostic value of a patient corresponding to the risk factor specified by the risk factor specifying means;
A risk factor specifying means for comparing the diagnostic value acquired by the diagnostic value acquisition means with a predetermined standard value and identifying a risk factor corresponding to the diagnostic value deviating from the standard value as a risk factor;
Output means for outputting a chart showing the relationship between each risk factor specified by the risk factor specifying means and each disease specified in the specified information in a form capable of specifying the risk factor specified by the risk factor specifying means When,
Including
The chart generation output means generates a Venn diagram indicating a relationship between each risk factor specified by the risk factor specifying means and each disease whose upper rank is determined by the higher-level disease specifying means among the specified diseases.
A risk assessment device characterized by that. A risk information storage means for storing a plurality of diseases in association with a plurality of risk factors that can cause each disease;
For a plurality of diseases selected from a plurality of diseases stored in the risk information storage means, a diagram generation output means for generating and outputting a chart showing a correlation between the plurality of diseases and their risk factors;
A selection means for selecting any disease in the chart generated by the chart generation output means;
Subordinate disease specifying means for specifying each of the diseases corresponding to the subordinates of the disease selected by the selecting means according to the relationship information that defines the hierarchical relationship between each disease;
With
The chart generation output means
An input means for inputting designation information for designating a plurality of diseases to be evaluated;
Risk factor specifying means for specifying risk factors corresponding to each specified disease from the risk information storage means according to the specification information input by the input means;
A diagnostic value acquisition means for acquiring a diagnostic value of a patient corresponding to the risk factor specified by the risk factor specifying means;
A risk factor specifying means for comparing the diagnostic value acquired by the diagnostic value acquisition means with a predetermined standard value and identifying a risk factor corresponding to the diagnostic value deviating from the standard value as a risk factor;
Output means for outputting a chart showing the relationship between each risk factor specified by the risk factor specifying means and each disease specified in the specified information in a form capable of specifying the risk factor specified by the risk factor specifying means When,
Including
The risk factor specifying means specifies a risk factor corresponding to each disease specified by the subordinate disease specifying means from the risk information storage means,
The chart generation output means generates a Venn diagram showing the relationship between each risk factor identified by the risk factor identification means and each disease identified by the lower-level disease identification means,
A risk assessment device characterized by that. A risk information storage means for storing a plurality of diseases in association with a plurality of risk factors that can cause each disease;
For a plurality of diseases selected from a plurality of diseases stored in the risk information storage means, a diagram generation output means for generating and outputting a chart showing a correlation between the plurality of diseases and their risk factors;
Risk value acquisition means for identifying at least the risk factor value identified by the risk factor identification means, and for determining each disease risk value based on the identified value;
With
The chart generation output means
An input means for inputting designation information for designating a plurality of diseases to be evaluated;
Risk factor specifying means for specifying risk factors corresponding to each specified disease from the risk information storage means according to the specification information input by the input means;
A diagnostic value acquisition means for acquiring a diagnostic value of a patient corresponding to the risk factor specified by the risk factor specifying means;
A risk factor specifying means for comparing the diagnostic value acquired by the diagnostic value acquisition means with a predetermined standard value and identifying a risk factor corresponding to the diagnostic value deviating from the standard value as a risk factor;
Output means for outputting a chart showing the relationship between each risk factor specified by the risk factor specifying means and each disease specified in the specified information in a form capable of specifying the risk factor specified by the risk factor specifying means When,
Including
The chart generation output means includes an onset risk value corresponding to each disease acquired by the risk value acquisition means, and generates a Venn diagram indicating a relationship between each risk factor and each disease.
A risk assessment device characterized by that. A risk information storage means for storing a plurality of diseases in association with a plurality of risk factors that can cause each disease;
For a plurality of diseases selected from a plurality of diseases stored in the risk information storage means, a diagram generation output means for generating and outputting a chart showing a correlation between the plurality of diseases and their risk factors;
Relationship information storage means for storing relationship information defining a hierarchical relationship between each disease;
When more than a predetermined number of diseases are designated by the designation information for designating a plurality of diseases to be evaluated, at least of the designated diseases according to the relationship information stored in the relationship information storage means Upper disease identification means for identifying upper disease common to two diseases,
With
The chart generation output means
Diagnostic value acquisition means for acquiring diagnostic values corresponding to each risk factor from patient diagnostic data;
A risk factor specifying means for comparing the diagnostic value acquired by the diagnostic value acquisition means with a predetermined standard value and identifying a risk factor corresponding to the diagnostic value deviating from the standard value as a risk factor;
From the risk information storage means, a disease specifying means for specifying a disease caused by the risk factor specified by the risk factor specifying means,
A risk factor identifying means for identifying a risk factor corresponding to the disease identified by the disease identifying means;
Output means for outputting a chart showing the relationship between each risk factor specified by the risk factor specifying means and each disease specified in the specified information in a form capable of specifying the risk factor specified by the risk factor specifying means When,
Including
The chart generation output means generates a Venn diagram indicating a relationship between each risk factor specified by the risk factor specifying means and each disease whose upper rank is determined by the higher-level disease specifying means among the specified diseases.
A risk assessment device characterized by that. A risk information storage means for storing a plurality of diseases in association with a plurality of risk factors that can cause each disease;
For a plurality of diseases selected from a plurality of diseases stored in the risk information storage means, a diagram generation output means for generating and outputting a chart showing a correlation between the plurality of diseases and their risk factors;
A selection means for selecting any disease in the chart generated by the chart generation output means;
Subordinate disease specifying means for specifying each of the diseases corresponding to the subordinates of the disease selected by the selecting means according to the relationship information that defines the hierarchical relationship between each disease;
With
The chart generation output means
Diagnostic value acquisition means for acquiring diagnostic values corresponding to each risk factor from patient diagnostic data;
A risk factor specifying means for comparing the diagnostic value acquired by the diagnostic value acquisition means with a predetermined standard value and identifying a risk factor corresponding to the diagnostic value deviating from the standard value as a risk factor;
From the risk information storage means, a disease specifying means for specifying a disease caused by the risk factor specified by the risk factor specifying means,
A risk factor identifying means for identifying a risk factor corresponding to the disease identified by the disease identifying means;
Output means for outputting a chart showing the relationship between each risk factor specified by the risk factor specifying means and each disease specified in the specified information in a form capable of specifying the risk factor specified by the risk factor specifying means When,
Including
The risk factor specifying means specifies a risk factor corresponding to each disease specified by the subordinate disease specifying means from the risk information storage means,
The chart generation output means generates a Venn diagram showing the relationship between each risk factor identified by the risk factor identification means and each disease identified by the lower-level disease identification means,
A risk assessment device characterized by that. A risk information storage means for storing a plurality of diseases in association with a plurality of risk factors that can cause each disease;
For a plurality of diseases selected from a plurality of diseases stored in the risk information storage means, a diagram generation output means for generating and outputting a chart showing a correlation between the plurality of diseases and their risk factors;
Risk value acquisition means for identifying at least the risk factor value identified by the risk factor identification means, and for determining each disease risk value based on the identified value;
With
The chart generation output means
Diagnostic value acquisition means for acquiring diagnostic values corresponding to each risk factor from patient diagnostic data;
A risk factor specifying means for comparing the diagnostic value acquired by the diagnostic value acquisition means with a predetermined standard value and identifying a risk factor corresponding to the diagnostic value deviating from the standard value as a risk factor;
From the risk information storage means, a disease specifying means for specifying a disease caused by the risk factor specified by the risk factor specifying means,
A risk factor identifying means for identifying a risk factor corresponding to the disease identified by the disease identifying means;
Output means for outputting a chart showing the relationship between each risk factor specified by the risk factor specifying means and each disease specified in the specified information in a form capable of specifying the risk factor specified by the risk factor specifying means When,
Including
The chart generation output means includes an onset risk value corresponding to each disease acquired by the risk value acquisition means, and generates a Venn diagram indicating a relationship between each risk factor and each disease.
A risk assessment device characterized by that. Relationship information storage means for storing relationship information defining a hierarchical relationship between each disease;
When more than a predetermined number of diseases are designated by the designation information for designating a plurality of diseases to be evaluated , at least of the designated diseases according to the relationship information stored in the relationship information storage means An upper disease identification means for identifying an upper disease common to two diseases, and
The chart generation output means generates a chart showing a relationship between each risk factor identified by the risk factor identification means and each disease for which a higher rank is determined by the higher-level disease identification means among the specified diseases.
The risk evaluation apparatus according to claim 2 or 5 , characterized in that: A selection means for selecting any disease in the chart generated by the chart generation output means;
According to the relationship information defining a hierarchical relationship among the diseases, further comprising a backward diseases identifying means for identifying each lower falls disease of selected diseases by the selection means,
The risk factor specifying means specifies a risk factor corresponding to each disease specified by the subordinate disease specifying means from the risk information storage means,
The chart generation output means generates a chart showing a relationship between each risk factor identified by the risk factor identification means and each disease identified by the lower disease identification means.
The risk evaluation apparatus according to claim 3 or 6 , characterized in that Risk value acquiring means for specifying at least the value of the risk factor specified by the risk factor specifying means, and for determining the risk value of each disease based on the specified value,
The chart generation output means generates a chart including an onset risk value corresponding to each disease acquired by the risk value acquisition means.
The risk evaluation apparatus according to claim 1, 4, or 7 . Among the onset risk values acquired by the risk value acquisition means, a risk value adjustment means for adjusting any onset risk value;
From the onset risk value adjusted by the risk value adjusting means, further comprising target value obtaining means for obtaining the value of the changed risk factor as a target value,
The risk value acquisition unit obtains again the risk value of each disease based on the target value of the risk factor calculated by the target value acquisition unit,
The risk evaluation apparatus according to claim 3, 6, or 9 . On the computer,
A risk information storage function that associates and stores a plurality of diseases and a plurality of risk factors that may cause the onset of each disease;
A chart generation output function for generating and outputting a chart showing a correlation between the plurality of diseases and the risk factor for a plurality of diseases selected from the plurality of diseases stored in the risk information storage function ,
A relationship information storage function for storing relationship information that defines a hierarchical relationship between each disease;
When more than a predetermined number of diseases are designated by the designation information for designating a plurality of diseases to be evaluated, at least of the plurality of designated diseases according to the relationship information stored in the relationship information storage function An upper disease identification function for identifying upper disease common to two diseases;
Realized
The chart generation output function is
An input function for inputting the designation information;
In accordance with the designation information input by the input function, a risk factor identification function that identifies each risk factor corresponding to each designated disease from the risk information storage function,
A diagnostic value acquisition function for acquiring a diagnostic value of a patient corresponding to the risk factor specified by the risk factor specifying function;
A risk factor specifying function for comparing a diagnostic value acquired by the diagnostic value acquisition function with a predetermined standard value, and identifying a risk factor corresponding to a diagnostic value deviating from the standard value as a risk factor,
An output function for outputting a chart showing a relationship between each risk factor specified by the risk factor specifying function and each disease specified in the specified information in a form capable of specifying the risk factor specified by the risk factor specifying function When,
Including
The chart generation output function generates a Venn diagram indicating a relationship between each risk factor specified by the risk factor specifying function and each disease for which a higher rank is determined by the higher-level disease specifying function among the specified diseases.
A program characterized by that. On the computer,
A risk information storage function that associates and stores a plurality of diseases and a plurality of risk factors that may cause the onset of each disease;
A chart generation output function for generating and outputting a chart showing a correlation between the plurality of diseases and the risk factor for a plurality of diseases selected from the plurality of diseases stored in the risk information storage function,
A selection function for selecting an arbitrary disease in the chart generated by the chart generation output function;
According to the relationship information that defines the hierarchical relationship between each disease, a lower disease specifying function that specifies each of the diseases that are subordinate to the disease selected by the selection function,
Realized,
The chart generation output function is
An input function for inputting designation information for designating a plurality of diseases to be evaluated;
In accordance with the designation information input by the input function, a risk factor identification function that identifies each risk factor corresponding to each designated disease from the risk information storage function,
A diagnostic value acquisition function for acquiring a diagnostic value of a patient corresponding to the risk factor specified by the risk factor specifying function;
A risk factor specifying function for comparing a diagnostic value acquired by the diagnostic value acquisition function with a predetermined standard value, and identifying a risk factor corresponding to a diagnostic value deviating from the standard value as a risk factor,
An output function for outputting a chart showing a relationship between each risk factor specified by the risk factor specifying function and each disease specified in the specified information in a form capable of specifying the risk factor specified by the risk factor specifying function When,
Including
The risk factor specifying function specifies a risk factor corresponding to each disease specified by the lower disease specifying function from the risk information storage function, respectively.
The chart generation output function generates a Venn diagram indicating a relationship between each risk factor specified by the risk factor specifying function and each disease specified by the lower-level disease specifying function.
A program characterized by that. On the computer,
A risk information storage function that associates and stores a plurality of diseases and a plurality of risk factors that may cause the onset of each disease;
A chart generation output function for generating and outputting a chart showing a correlation between the plurality of diseases and the risk factor for a plurality of diseases selected from the plurality of diseases stored in the risk information storage function,
A risk value acquisition function for identifying at least the risk factor value identified by the risk factor identification function, and for determining the risk value of each disease based on the identified value;
Realized
The chart generation output function is
An input function for inputting designation information for designating a plurality of diseases to be evaluated;
In accordance with the designation information input by the input function, a risk factor identification function that identifies each risk factor corresponding to each designated disease from the risk information storage function,
A diagnostic value acquisition function for acquiring a diagnostic value of a patient corresponding to the risk factor specified by the risk factor specifying function;
A risk factor specifying function for comparing a diagnostic value acquired by the diagnostic value acquisition function with a predetermined standard value, and identifying a risk factor corresponding to a diagnostic value deviating from the standard value as a risk factor,
An output function for outputting a chart showing a relationship between each risk factor specified by the risk factor specifying function and each disease specified in the specified information in a form capable of specifying the risk factor specified by the risk factor specifying function When,
Including
The chart generation output function includes an onset risk value corresponding to each disease acquired by the risk value acquisition function, and generates a Venn diagram indicating a relationship between each risk factor and each disease.
A program characterized by that . On the computer,
A risk information storage function that associates and stores a plurality of diseases and a plurality of risk factors that may cause the onset of each disease;
A chart generation output function for generating and outputting a chart showing a correlation between the plurality of diseases and the risk factor for a plurality of diseases selected from the plurality of diseases stored in the risk information storage function,
A relationship information storage function for storing relationship information that defines a hierarchical relationship between each disease;
When more than a predetermined number of diseases are designated by the designation information for designating a plurality of diseases to be evaluated, at least of the plurality of designated diseases according to the relationship information stored in the relationship information storage function An upper disease identification function for identifying upper diseases common to two diseases;
Realized,
The chart generation output function is
A diagnostic value acquisition function for acquiring diagnostic values corresponding to each risk factor from patient diagnostic data;
A risk factor specifying function for comparing a diagnostic value acquired by the diagnostic value acquisition function with a predetermined standard value, and identifying a risk factor corresponding to a diagnostic value deviating from the standard value as a risk factor,
From the risk information storage function, a disease identification function for identifying a disease caused by the risk factor identified by the risk factor identification function, and
A risk factor identifying function for identifying a risk factor corresponding to the disease identified by the disease identifying function;
An output function for outputting a chart showing a relationship between each risk factor specified by the risk factor specifying function and each disease specified in the specified information in a form capable of specifying the risk factor specified by the risk factor specifying function When,
Including
The chart generation output function generates a Venn diagram indicating a relationship between each risk factor specified by the risk factor specifying function and each disease for which a higher rank is determined by the higher-level disease specifying function among the specified diseases.
A program characterized by that. On the computer,
A risk information storage function that associates and stores a plurality of diseases and a plurality of risk factors that may cause the onset of each disease;
A chart generation output function for generating and outputting a chart showing a correlation between the plurality of diseases and the risk factor for a plurality of diseases selected from the plurality of diseases stored in the risk information storage function,
A selection function for selecting an arbitrary disease in the chart generated by the chart generation output function;
According to the relationship information that defines the hierarchical relationship between each disease, a lower disease specifying function that specifies each of the diseases that are subordinate to the disease selected by the selection function,
Realized,
The chart generation output function is
A diagnostic value acquisition function for acquiring diagnostic values corresponding to each risk factor from patient diagnostic data;
A risk factor specifying function for comparing a diagnostic value acquired by the diagnostic value acquisition function with a predetermined standard value, and identifying a risk factor corresponding to a diagnostic value deviating from the standard value as a risk factor,
From the risk information storage function, a disease identification function for identifying a disease caused by the risk factor identified by the risk factor identification function, and
A risk factor identifying function for identifying a risk factor corresponding to the disease identified by the disease identifying function;
An output function for outputting a chart showing a relationship between each risk factor specified by the risk factor specifying function and each disease specified in the specified information in a form capable of specifying the risk factor specified by the risk factor specifying function When,
Including
The risk factor specifying function specifies a risk factor corresponding to each disease specified by the lower disease specifying function from the risk information storage function, respectively.
The chart generation output function generates a Venn diagram indicating a relationship between each risk factor specified by the risk factor specifying function and each disease specified by the lower-level disease specifying function.
A program characterized by that. On the computer,
A risk information storage function that associates and stores a plurality of diseases and a plurality of risk factors that may cause the onset of each disease;
A chart generation output function for generating and outputting a chart showing a correlation between the plurality of diseases and the risk factor for a plurality of diseases selected from the plurality of diseases stored in the risk information storage function,
A risk value acquisition function for identifying at least the risk factor value identified by the risk factor identification function, and for determining the risk value of each disease based on the identified value;
Realized,
The chart generation output function is
A diagnostic value acquisition function for acquiring diagnostic values corresponding to each risk factor from patient diagnostic data;
A risk factor specifying function for comparing a diagnostic value acquired by the diagnostic value acquisition function with a predetermined standard value, and identifying a risk factor corresponding to a diagnostic value deviating from the standard value as a risk factor,
From the risk information storage function, a disease identification function for identifying a disease caused by the risk factor identified by the risk factor identification function, and
A risk factor identifying function for identifying a risk factor corresponding to the disease identified by the disease identifying function;
An output function for outputting a chart showing a relationship between each risk factor specified by the risk factor specifying function and each disease specified in the specified information in a form capable of specifying the risk factor specified by the risk factor specifying function When,
Including
The chart generation output function includes an onset risk value corresponding to each disease acquired by the risk value acquisition function, and generates a Venn diagram indicating a relationship between each risk factor and each disease.
A program characterized by that.

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