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...

Descripción completa

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

Internet

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

Ejemplares similares