Development and Validation of an Explainable Machine Learning Model for Warning of Hepatitis E Virus‐Related Acute Liver Failure
The GBM model demonstrated excellent performance in predicting HEV-ALF risk in hospitalised patients with AHE, offering a promising tool for clinical decision-making.
Authors
- Ling Yang (ORCID: https://orcid.org/0000-0001-5750-6588)
- Lin Chen (ORCID: https://orcid.org/0009-0005-1741-0975)
- Minzhi Xu (ORCID: https://orcid.org/0000-0001-5222-3685)
- Rui Dong (ORCID: https://orcid.org/0000-0003-2395-3675)
- Zhenghan Luo
- Mengping Wu
- Wen Jin
- Jianguo Shao
- Chao Shen (ORCID: https://orcid.org/0000-0003-3552-4296)
- Hong Xue
- Jie Wang (ORCID: https://orcid.org/0000-0002-3879-0971)
Institutions
- Xuzhou Medical College (CN)
- Nantong University (CN)
- Soochow University (CN)
- Affiliated Hospital of Nantong University (CN)
- Huadong Hospital (CN)
- The Affiliated Taizhou People's Hospital of Nanjing Medical University (CN)
- Nanjing Municipal Center for Disease Control And Prevention (CN)
- The First People’s Hospital of Lianyungang (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- Liver International
- Published
- 2025-05-09
- DOI
- https://doi.org/10.1111/liv.70129
- Citations
- 1
- Primary Topic
- Hepatitis Viruses Studies and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 1.32
Funders
- Jiangsu Provincial Department of Education