Application of machine learning for prognostic modeling in unresectable pancreatic cancer treated with chemoradiotherapy
The XGBoost-based model accurately predicted survival in unresectable pancreatic cancer patients receiving CRT. It may serve as a useful tool for personalized risk assessment and treatment planning.
Authors
- Shanbao Ke
- Wei Xiao (ORCID: https://orcid.org/0000-0001-5924-434X)
- Binbin Yang (ORCID: https://orcid.org/0000-0002-8211-0830)
Institutions
- Wuhan Union Hospital (CN)
- Henan Provincial People's Hospital (CN)
- Zhengzhou People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-09-01
- DOI
- https://doi.org/10.3389/fonc.2025.1644141
- Citations
- 1
- Primary Topic
- Pancreatic and Hepatic Oncology Research
- Type
- article
- Field-Weighted Citation Impact
- 1.05