Machine learning-based personalized risk prediction model for breast cancer-related lymphedema after surgery
A logistic regression model, combined with SHAP-based interpretation, enables personalized risk prediction of BCRL in postoperative breast cancer patients. This approach may provide robust support for clinical risk stratification and intervention planning.
Authors
- Jianfen Liu
- Weiying Xu (ORCID: https://orcid.org/0000-0003-0187-7026)
- Xuemei Peng (ORCID: https://orcid.org/0000-0002-5363-3085)
- Qibing Li (ORCID: https://orcid.org/0000-0002-1265-1084)
- Jia‐Pei Hong
- Yiqin Ai
Institutions
- First Affiliated Hospital of Jiangxi Medical College (CN)
- Jiangxi Provincial Cancer Hospital (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-12-04
- DOI
- https://doi.org/10.3389/fonc.2025.1729340
- Primary Topic
- Lymphatic System and Diseases
- Type
- article
- Field-Weighted Citation Impact
- 0.00