Predicting Mortality in Intensive Care Unit Patients With Heart Failure Using an Interpretable Machine Learning Model: Retrospective Cohort Study

BACKGROUND: Heart failure (HF) is a common disease and a major public health problem. HF mortality prediction is critical for developing individualized prevention and treatment plans. However, due to their lack of interpretability, most HF mortality prediction models have not yet reached clinical pr...

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Detalles Bibliográficos
Autores principales: Li, Jili, Liu, Siru, Hu, Yundi, Zhu, Lingfeng, Mao, Yujia, Liu, Jialin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399880/
https://www.ncbi.nlm.nih.gov/pubmed/35943767
http://dx.doi.org/10.2196/38082

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9399880/
https://www.ncbi.nlm.nih.gov/pubmed/35943767
http://dx.doi.org/10.2196/38082

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