AUG 12, 2026 · JOURNAL ARTICLE
Predicting treatment-related cardiovascular risks in breast cancer patients: development and validation of an interpretable machine learning model
Frontiers in Oncology
A real result from a sound but limited retrospective study using machine learning on electronic health records; the model shows good discriminative performance (AUC 0.790) but lacks prospective validation and independent external testing.
Reported
Sample size31878
Composite cardiovascular events3960
Event rate12.4%