Early prediction of in-hospital mortality utilizing multivariate predictive modelling of electronic medical records and socio-determinants of health of the first day of hospitalization

Abstract Background In France an average of 4% of hospitalized patients die during their hospital stay. To aid medical decision making and the attribution of resources, within a few days of admission the identification of patients at high risk of dying in hospital is essential. Methods We used de-id...

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Detaylı Bibliyografya
Asıl Yazarlar:	Daniel Stoessel, Rui Fa, Svetlana Artemova, Ursula von Schenck, Hadiseh Nowparast Rostami, Pierre-Ephrem Madiot, Caroline Landelle, Fréderic Olive, Alison Foote, Alexandre Moreau-Gaudry, Jean-Luc Bosson
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	BMC 2023-11-01
Seri Bilgileri:	BMC Medical Informatics and Decision Making
Konular:	All-cause in-hospital mortality Data at hospital admission Machine learning Clinical decision making
Online Erişim:	https://doi.org/10.1186/s12911-023-02356-4
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

Early prediction of in-hospital mortality utilizing multivariate predictive modelling of electronic medical records and socio-determinants of health of the first day of hospitalization

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