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

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

Abstract 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 administrati...

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Bibliographic Details
Main Authors: Sebastian König, Vincent Pellissier, Sven Hohenstein, Andres Bernal, Laura Ueberham, Andreas Meier‐Hellmann, Ralf Kuhlen, Gerhard Hindricks, Andreas Bollmann
Format: Article
Language:English
Published: Wiley 2021-08-01
Series:ESC Heart Failure
Subjects:
Mortality prediction
Prediction models
Machine learning
In‐hospital mortality
Heart failure
Online Access:https://doi.org/10.1002/ehf2.13398

Internet

https://doi.org/10.1002/ehf2.13398

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