Machine ​learning algorithms for claims data‐based prediction of in‐hospital mortality in patients with heart failure

AIMS: Models predicting mortality in heart failure (HF) patients are often limited with regard to performance and applicability. The aim of this study was to develop a reliable algorithm to compute expected in‐hospital mortality rates in HF cohorts on a population level based on administrative data...

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Detalles Bibliográficos
Autores principales: König, Sebastian, Pellissier, Vincent, Hohenstein, Sven, Bernal, Andres, Ueberham, Laura, Meier‐Hellmann, Andreas, Kuhlen, Ralf, Hindricks, Gerhard, Bollmann, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Original Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8318394/
https://www.ncbi.nlm.nih.gov/pubmed/34085775
http://dx.doi.org/10.1002/ehf2.13398

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8318394/
https://www.ncbi.nlm.nih.gov/pubmed/34085775
http://dx.doi.org/10.1002/ehf2.13398

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