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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...
Autores principales: | Luo, Cida, Zhu, Yi, Zhu, Zhou, Li, Ranxi, Chen, Guoqin, Wang, Zhang |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
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 |
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