A machine learning-based risk stratification tool for in-hospital mortality of intensive care unit patients with heart failure

BACKGROUND: Predicting hospital mortality risk is essential for the care of heart failure patients, especially for those in intensive care units. METHODS: Using a novel machine learning algorithm, we constructed a risk stratification tool that correlated patients’ clinical features and in-hospital m...

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Detalles Bibliográficos
Autores principales: Luo, Cida, Zhu, Yi, Zhu, Zhou, Li, Ranxi, Chen, Guoqin, Wang, Zhang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8932070/
https://www.ncbi.nlm.nih.gov/pubmed/35303896
http://dx.doi.org/10.1186/s12967-022-03340-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8932070/
https://www.ncbi.nlm.nih.gov/pubmed/35303896
http://dx.doi.org/10.1186/s12967-022-03340-8

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