Machine learning-based prognostic model for metastatic breast cancer and its interpretability: a multicenter retrospective study
The constructed RSF prognostic model demonstrated excellent predictive performance in MBC survival prediction and achieved good interpretability as confirmed by the SHAP analysis. These findings indicate that the developed model can facilitate prognostic assessment and promote the design of individualized treatments for MBC patients.
Authors
- Sili Jin
- Jie Wang (ORCID: https://orcid.org/0000-0003-0764-3642)
- Kai Zhu (ORCID: https://orcid.org/0000-0002-2391-4193)
- Jing-Hua Wu
Institutions
- Jiaxing University (CN)
- First Hospital of Jiaxing (CN)
Publication Details
- Journal
- Gland Surgery
- Published
- 2025-12-01
- DOI
- https://doi.org/10.21037/gs-2025-362
- Primary Topic
- Breast Cancer Treatment Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00