Machine learning-based nomogram for mortality risk stratification in cirrhotic patients with sepsis: a single-center predictive model

ObjectiveTo develop and validate a nomogram-based predictive model for in-hospital mortality among patients with liver cirrhosis complicated by sepsis, and to evaluate its predictive accuracy.MethodsClinical data were retrospectively collected from patients diagnosed with liver cirrhosis and sepsis...

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Bibliographic Details

Published in:	Frontiers in Medicine
Main Authors:	Xing-Cheng Zhang, Bo-Wen Li, Xi-Qun Lei, Nan-Bing Shan, Jun-Ping Wei, Zhong-Hua Lu, Yun Sun
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-10-01
Subjects:	liver cirrhosis sepsis LASSO regression mortality nomogram prediction
Online Access:	https://www.frontiersin.org/articles/10.3389/fmed.2025.1684527/full