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Comparing Random Survival Forests and Cox Regression for Nonresponders to Neoadjuvant Chemotherapy Among Patients With Breast Cancer: Multicenter Retrospective Cohort Study

Comparing Random Survival Forests and Cox Regression for Nonresponders to Neoadjuvant Chemotherapy Among Patients With Breast Cancer: Multicenter Retrospective Cohort Study

Additionally, Sammut et al [31] and Chen et al [32] created models using multi-omics data. These studies have highlighted the substantial value of machine learning models in predicting patients’ responses to NAC. However, as previous research has confirmed that patients with no p CR tend to have a worse prognosis and a higher risk for adverse events, it is important to note that few studies have explored risk stratification among those patients.

Yudi Jin, Min Zhao, Tong Su, Yanjia Fan, Zubin Ouyang, Fajin Lv

J Med Internet Res 2025;27:e69864