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...

Description complète

Détails bibliographiques

Auteurs principaux:	Chiyuan Ma, Ruizhi Xu, Dubin Su, Jingjing Yang, Ziwei Zhou, Qun Chen, Yaping Guo, Lihong Huang, Wanshan Ning
Format:	Artigo
Langue:	Inglês
Publié:	Elsevier 2025-12-01
Collection:	iScience
Sujets:	Health sciences Machine learning
Accès en ligne:	http://www.sciencedirect.com/science/article/pii/S2589004225024034
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!