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Machine learning-based in-hospital mortality risk prediction tool for intensive care unit patients with heart failure

OBJECTIVE: Risk stratification of patients with congestive heart failure (HF) is vital in clinical practice. The aim of this study was to construct a machine learning model to predict the in-hospital all-cause mortality for intensive care unit (ICU) patients with HF. METHODS: eXtreme Gradient Boosti...

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Detalles Bibliográficos
Autores principales:	Chen, Zijun, Li, Tingming, Guo, Sheng, Zeng, Deli, Wang, Kai
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2023
Materias:	Cardiovascular Medicine
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10106627/ https://www.ncbi.nlm.nih.gov/pubmed/37077747 http://dx.doi.org/10.3389/fcvm.2023.1119699

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