Prediction of ICU needs and organ failures in infectious patients using machine learning

Summary: This retrospective multicenter cohort study developed predictive models to identify patients at high risk for intensive care and major organ failure, using data from the First Affiliated Hospital of Xiamen University and the MIMIC-III/IV databases. A total of 18,689 infectious patients were...

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Detalles Bibliográficos

Principais autores:	Chiyuan Ma, Ruizhi Xu, Dubin Su, Jingjing Yang, Ziwei Zhou, Qun Chen, Yaping Guo, Lihong Huang, Wanshan Ning
Formato:	Artigo
Idioma:	Inglês
Publicado:	Elsevier 2025-12-01
Series:	iScience
Assuntos:	Health sciences Machine learning
Acceso en liña:	http://www.sciencedirect.com/science/article/pii/S2589004225024034
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