An ensemble learning model for predicting cancer-specific survival of muscle-invasive bladder cancer patients undergoing bladder preservation therapy.
Liwei WeiFubo WangGuanglin YangNaikai LiaoZelin CuiHao ChenQiyue ZhaoMin QinJi-Wen ChengPublished in: Translational cancer research (2024)
The Catboost model exhibits the highest predictive performance and clinical utility, potentially aiding clinicians in making optimal individualized decisions for MIBC patients with BPT.