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

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-identifie...

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Detalles Bibliográficos
Autores principales: Stoessel, Daniel, Fa, Rui, Artemova, Svetlana, von Schenck, Ursula, Nowparast Rostami, Hadiseh, Madiot, Pierre-Ephrem, Landelle, Caroline, Olive, Fréderic, Foote, Alison, Moreau-Gaudry, Alexandre, Bosson, Jean-Luc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10644472/
https://www.ncbi.nlm.nih.gov/pubmed/37957690
http://dx.doi.org/10.1186/s12911-023-02356-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10644472/
https://www.ncbi.nlm.nih.gov/pubmed/37957690
http://dx.doi.org/10.1186/s12911-023-02356-4

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