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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Detalhes bibliográficos

Principais autores:	Chengcheng Shen, Yang Chen, Tingting Pan, Hongping Qu, Ling Zhang, Rui Tian, Tong Wu, Ruoming Tan
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2025-12-01
Colecção:	BMC Infectious Diseases
Assuntos:	CMV Reactivation Sepsis ICU Interpretable machine learning SHAP
Acesso em linha:	https://doi.org/10.1186/s12879-025-12154-0
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