Discharge recommendation based on a novel technique of homeostatic analysis | Zendy

Jacob Calvert | Zendy; D A Price | Zendy; Christopher W. Barton | Zendy; Uli K. Chettipally | Zendy; Ritankar Das | Zendy

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Discharge recommendation based on a novel technique of homeostatic analysis

Author(s) -

Jacob Calvert,

D A Price,

Christopher W. Barton,

Uli K. Chettipally,

Ritankar Das

Publication year - 2016

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1093/jamia/ocw014

Subject(s) - interdependence , stability (learning theory) , computer science , outcome (game theory) , sensitivity (control systems) , aggregate (composite) , data mining , artificial intelligence , machine learning , engineering , mathematics , materials science , mathematical economics , electronic engineering , political science , law , composite material

We propose a computational framework for integrating diverse patient measurements into an aggregate health score and applying it to patient stability prediction.

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