Comparing Random Survival Forests and Cox Regression for Nonresponders to Neoadjuvant Chemotherapy Among Patients With Breast Cancer: Multicenter Retrospective Cohort Study
The RSF model, based solely on clinicopathological variables, provides a promising tool for identifying high-risk patients with breast cancer post-NAC. This approach may facilitate personalized treatment strategies and improve patient management in clinical practice.
Authors
- Fajin Lv (ORCID: https://orcid.org/0000-0002-6484-9738)
- Tong Su (ORCID: https://orcid.org/0000-0001-5698-7615)
- Yudi Jin (ORCID: https://orcid.org/0000-0002-2836-0855)
- Yanjia Fan
- Min Zhao (ORCID: https://orcid.org/0009-0002-8065-2596)
- Zubin Ouyang
Institutions
- The Affiliated Yongchuan Hospital of Chongqing Medical University (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-04-08
- DOI
- https://doi.org/10.2196/69864
- Citations
- 4
- Primary Topic
- Breast Cancer Treatment Studies
- Type
- article
- Field-Weighted Citation Impact
- 3.75