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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Autors principals:	Chiyuan Ma, Ruizhi Xu, Dubin Su, Jingjing Yang, Ziwei Zhou, Qun Chen, Yaping Guo, Lihong Huang, Wanshan Ning
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2025-12-01
Col·lecció:	iScience
Matèries:	Health sciences Machine learning
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2589004225024034
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