Open access
Jul 2026
Interpretable machine learning for cardiovascular disease risk prediction in cancer survivors: development and internal validation.
This study developed and internally validated interpretable machine learning models to predict CVD risk among cancer survivors and demonstrated good discrimination and calibration and outperformed traditional methods.
Guoxing Zhang, Xue-Ying Zhang, Chunyi Jia et al.
· Cardio-Oncology · 0 citations