Prediction of long-term hospitalisation and all-cause mortality in patients with chronic heart failure on Dutch claims data: a machine learning approach

Abstract Background Accurately predicting which patients with chronic heart failure (CHF) are particularly vulnerable for adverse outcomes is of crucial importance to support clinical decision making. The goal of the current study was to examine the predictive value on long term heart failure (HF) h...

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Autores principales: Onno P. van der Galiën, René C. Hoekstra, Muhammed T. Gürgöze, Olivier C. Manintveld, Mark R. van den Bunt, Cor J. Veenman, Eric Boersma
Formato: article
Lenguaje:EN
Publicado: BMC 2021
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Acceso en línea:https://doaj.org/article/1bbfe8e8bf964465bb8bff38db791fe9
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