Urbut et al., 2024 - Google Patents
ALADYNOULLI: a Bayesian approach to disease progression modeling for genomic discovery and clinical predictionUrbut et al., 2024
View PDF- Document ID
- 8656193510087364724
- Author
- Urbut S
- Ding Y
- Nakao T
- Koyama S
- Jiang X
- Harish A
- Gaffney L
- Hornsby W
- Smoller J
- Gusev A
- Natarajan P
- Parmigiani G
- Publication year
- Publication venue
- medRxiv
External Links
Snippet
Understanding how disease patterns evolve over a lifetime remains a key challenge in medicine. While electronic health records provide rich longitudinal data, existing models typically analyze each disease in isolation, missing the complex interplay between multiple …
Classifications
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- G06F19/345—Medical expert systems, neural networks or other automated diagnosis
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- G06F19/3431—Calculating a health index for the patient, e.g. for risk assessment
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- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
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