Comparison Between Cox Proportional Hazards and Machine Learning Models for the Prognostication of Recurrence and Survival Following Liver Resection for Hepatocellular Carcinoma
A CPH-derived prognostication model was effective for predicting and risk stratifying recurrence and survival following liver resection for HCC.
Authors
- Cliburn Chan (ORCID: https://orcid.org/0000-0001-5901-6806)
- Peng Chung Cheow (ORCID: https://orcid.org/0000-0002-8102-1203)
- Tzy Harn Chua (ORCID: https://orcid.org/0000-0001-6250-2004)
- Hwee Leong Tan (ORCID: https://orcid.org/0000-0002-5988-0132)
- Brian K. P. Goh (ORCID: https://orcid.org/0000-0001-8218-4576)
- Jin‐Yao Teo (ORCID: https://orcid.org/0000-0002-0777-8128)
- Amy S. M. Lam (ORCID: https://orcid.org/0000-0003-0139-2328)
- Ye Xin Koh (ORCID: https://orcid.org/0000-0001-5006-4174)
- Alexander Chung
- Claudia Y. T. Liauw
Institutions
- Duke University (US)
- Singapore General Hospital (SG)
- National Cancer Centre Singapore (SG)
Publication Details
- Journal
- Journal of Hepato-Biliary-Pancreatic Sciences
- Published
- 2025-07-20
- DOI
- https://doi.org/10.1002/jhbp.12186
- Primary Topic
- Hepatocellular Carcinoma Treatment and Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00