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...

Descrizione completa

Dettagli Bibliografici

Autori principali:	Chiyuan Ma, Ruizhi Xu, Dubin Su, Jingjing Yang, Ziwei Zhou, Qun Chen, Yaping Guo, Lihong Huang, Wanshan Ning
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Elsevier 2025-12-01
Serie:	iScience
Soggetti:	Health sciences Machine learning
Accesso online:	http://www.sciencedirect.com/science/article/pii/S2589004225024034
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!