Performance of AI-based machine learning models for overall survival prediction in advanced hepatocellular carcinoma patients receiving immunoradiotherapy
RT significantly improved prognosis in advanced HCC patients treated with immunotherapy and targeted therapy. Among multiple algorithms, the StepCox (forward) + Ridge model achieved superior predictive performance, supporting its potential value in individualized prognostic assessment.
Authors
- Shanbao Ke
- Shengyuan Luo
- Xiao Feng (ORCID: https://orcid.org/0000-0002-9212-7337)
- Xiaonan Wang (ORCID: https://orcid.org/0000-0001-9775-2417)
- Jianwei Zhou
Institutions
- Changzhi Medical College (CN)
- Zhengzhou University (CN)
- Boxing People's Hospital (CN)
- Henan Provincial People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Pharmacology
- Published
- 2025-11-20
- DOI
- https://doi.org/10.3389/fphar.2025.1719479
- Primary Topic
- Hepatocellular Carcinoma Treatment and Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00