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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

For instance, Zhao et al [23] constructed machine learning models to predict the p CR to NAC based on clinicopathological variables. Similarly, Zhang and coworkers [24-30] developed machine learning models that incorporated clinicopathological features, radiomic features, and pathomic features to forecast the p CR following NAC. Additionally, Sammut et al [31] and Chen et al [32] created models using multi-omics data.

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

J Med Internet Res 2025;27:e69864

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