Development and validation of a machine learning model to predict prognosis in liver failure patients treated with non-bioartificial liver support system

Development and validation of a machine learning model to predict prognosis in liver failure patients treated with non-bioartificial liver support system

Background and objectivesThe prognosis of liver failure treated with non-bioartificial liver support systems is poor. Detecting its risk factors and developing relevant prognostic models still represent the top priority to lower its death risk.MethodsAll 215 patients with liver failure treated with...

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Bibliographic Details
Main Authors:	Shi Shi, Yanfen Yang, Yuanli Liu, Rong Chen, XiaoXia Jia, Yutong Wang, Chunqing Deng
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-03-01
Series:	Frontiers in Medicine
Subjects:	non-bioartificial liver support system liver failure random survival forests multivariate cox regression nomogram
Online Access:	https://www.frontiersin.org/articles/10.3389/fmed.2024.1368899/full

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