Predicting hepatitis C infection via machine learning
TP exhibited a linear association with HCV infection, whereas HCV-Ab, ALT, AST, mAST and GGT showed nonlinear associations with distinct threshold effects. Early prediction of HCV infection using these indicators represents a cost-effective strategy.
Authors
- Yueyue Zhu (ORCID: https://orcid.org/0000-0003-2649-7900)
Institutions
- Shanghai Medical College of Fudan University (CN)
Publication Details
- Journal
- American Journal of Translational Research
- Published
- 2025-01-01
- DOI
- https://doi.org/10.62347/qxzb5406
- Primary Topic
- Hepatitis C virus research
- Type
- article
- Field-Weighted Citation Impact
- 0.00