Rafael Herzog

Machine learning survival models for colorectal cancer: advantages of random survival forests over classification algorithms

Colorectal cancer remains a major cause of cancer-related mortality worldwide, motivating the development of accurate prognostic models. Despite advances in machine learning for survival prediction, a common practice in the literature reformulates time-to-event outcomes as binary...