Predicting health-related quality of life two years post-diagnosis across seven cancer types: using machine learning to identify vulnerable patients.

Cancer survivors often experience long-term consequences affecting their Health-Related Quality of Life (HRQoL). Sociodemographic factors, clinical characteristics, and health-related behaviours influence HRQoL, making some individuals vulnerable to adverse HRQoL. This study develops linear regression and machine learning models to predict HRQoL two-year post-diagnosis and to identify key vulnerability factors.