An exploratory machine learning model for predicting advanced liver fibrosis in autoimmune hepatitis patients: A preliminary study
ML models, particularly the RF model, can help improve the discrimination of advanced liver fibrosis in patients with AIH.
Authors
- Qinglin Wei (ORCID: https://orcid.org/0000-0003-4866-0799)
- Hongbo Wu (ORCID: https://orcid.org/0000-0001-6323-8401)
- Ying Peng (ORCID: https://orcid.org/0000-0003-4924-1430)
- Wen Li (ORCID: https://orcid.org/0000-0002-9550-3828)
- Xingyue Zhang (ORCID: https://orcid.org/0000-0002-0882-2610)
- Shubei He (ORCID: https://orcid.org/0000-0002-8502-9288)
- Qiaoling Xie (ORCID: https://orcid.org/0000-0002-1342-2507)
Institutions
- Army Medical University (CN)
- Chinese PLA General Hospital (CN)
- Southwest Hospital (CN)
Publication Details
- Journal
- Annals of Hepatology
- Published
- 2024-12-12
- DOI
- https://doi.org/10.1016/j.aohep.2024.101754
- Citations
- 4
- Primary Topic
- Liver Disease Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.55