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Shalish et al., 2017 - Google Patents
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Shalish et al., 2017 - Google Patents

Prediction of extubation readiness in extremely preterm infants by the automated analysis of cardiorespiratory behavior: study protocol

Shalish et al., 2017

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Document ID
4636645251264586683
Author
Shalish W
Kanbar L
Rao S
Robles-Rubio C
Kovacs L
Chawla S
Keszler M
Precup D
Brown K
Kearney R
Sant’Anna G
Publication year
Publication venue
BMC pediatrics

External Links

Snippet

Background Extremely preterm infants (≤ 28 weeks gestation) commonly require endotracheal intubation and mechanical ventilation (MV) to maintain adequate oxygenation and gas exchange. Given that MV is independently associated with important adverse …
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    • G06F19/34Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • G06F19/345Medical expert systems, neural networks or other automated diagnosis
    • GPHYSICS
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    • A61B5/0205Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
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