Metabolic factor-based machine learning model for mortality prediction in acute hepatitis E: Development and validation from a dual-center cohort

The LR model incorporating systemic metabolic factors accurately predicted short-term mortality in HEV patients and may facilitate early risk stratification and personalized management.

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Publication Details

Journal
Digestive and Liver Disease
Published
2026-02-01
DOI
https://doi.org/10.1016/j.dld.2026.02.002
Primary Topic
Hepatitis Viruses Studies and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00

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article

Metabolic factor-based machine learning model for mortality prediction in acute hepatitis E: Development and validation from a dual-center cohort

Haoshuang Fu, Shuying Song, Yuelin Xiao, Yanan Du et al.
Digestive and Liver Disease
Hepatitis Viruses Studies and Epidemiology
article

Metabolic factor-based machine learning model for mortality prediction in acute hepatitis E: Development and validation from a dual-center cohort

Haoshuang Fu, Shuying Song, Yuelin Xiao, Yanan Du, Tianhui Zhou, Bingying Du, Gangde Zhao
article en

Abstract

The LR model incorporating systemic metabolic factors accurately predicted short-term mortality in HEV patients and may facilitate early risk stratification and personalized management.

Digestive and Liver Disease
Shanghai Jiao Tong University (CN), Ruijin Hospital (CN)
National Natural Science Foundation of China, Ruijin Hospital
Good health and well-being
Openalex Percentile: Top 49%
Hepatitis Viruses Studies and Epidemiology
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