Establish and validate an artificial neural networks model used for predicting portal vein thrombosis risk in hepatitis B-related cirrhosis patients
The ANN model demonstrated effective stratification of patients into high- and low-risk groups for PVT development over three and five years. Validation in an independent cohort confirmed the model's predictive accuracy.
Authors
- Jia-Liang Chen
- Yuyong Jiang (ORCID: https://orcid.org/0000-0002-6082-1180)
- Xunming Ji (ORCID: https://orcid.org/0000-0003-0293-2744)
- Yixin Hou (ORCID: https://orcid.org/0000-0001-8233-7210)
- Xiaoli Liu (ORCID: https://orcid.org/0000-0003-4810-1815)
- Peipei Meng (ORCID: https://orcid.org/0000-0003-0327-6099)
- Yang Zhou (ORCID: https://orcid.org/0000-0001-7091-1051)
- Feng Xiong (ORCID: https://orcid.org/0000-0002-8173-8845)
Institutions
- Beijing Ditan Hospital (CN)
Publication Details
- Journal
- World Journal of Hepatology
- Published
- 2025-03-25
- DOI
- https://doi.org/10.4254/wjh.v17.i3.97767
- Primary Topic
- Liver Disease Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00