From population- to patient-based prediction of in-hospital mortality in heart failure using machine learning

AIMS: Utilizing administrative data may facilitate risk prediction in heart failure inpatients. In this short report, we present different machine learning models that predict in-hospital mortality on an individual basis utilizing this widely available data source. METHODS AND RESULTS: Inpatient cas...

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Detalles Bibliográficos
Autores principales: König, Sebastian, Pellissier, Vincent, Hohenstein, Sven, Leiner, Johannes, Meier-Hellmann, Andreas, Kuhlen, Ralf, Hindricks, Gerhard, Bollmann, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Short Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9708014/
https://www.ncbi.nlm.nih.gov/pubmed/36713020
http://dx.doi.org/10.1093/ehjdh/ztac012

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9708014/
https://www.ncbi.nlm.nih.gov/pubmed/36713020
http://dx.doi.org/10.1093/ehjdh/ztac012

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