Risk stratification for CMV reactivation in sepsis patients: development of an interpretable machine learning model

Abstract Background Cytomegalovirus (CMV) reactivation in critically ill populations is associated with adverse outcomes. This study aimed to develop and validate an interpretable machine learning model to predict CMV reactivation within 28 days of ICU admission in sepsis patients, providing a risk...

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Autori principali:	Chengcheng Shen, Yang Chen, Tingting Pan, Hongping Qu, Ling Zhang, Rui Tian, Tong Wu, Ruoming Tan
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	BMC 2025-12-01
Serie:	BMC Infectious Diseases
Soggetti:	CMV Reactivation Sepsis ICU Interpretable machine learning SHAP
Accesso online:	https://doi.org/10.1186/s12879-025-12154-0
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