Early identification of potentially reversible cancer cachexia using explainable machine learning driven by body weight dynamics: a multicenter cohort study.
Cachexia is associated with multiple adverse outcomes in cancer. However, clinical decision-making for oncology patients at the cachexia stage presents significant challenges. This study aims to develop a machine learning (ML) model to identify potentially reversible cancer cachexia (PRCC). This...
๐๏ธ 2025-01-08
๐ฐ Publication: American Journal Of Clinical Nutrition
Read MoreEarly identification of potentially reversible cancer cachexia using explainable machine learning driven by body weight dynamics: a multicenter cohort study.