Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...

Discover how random forests, a machine-learning technique, enhance prediction accuracy by combining insights from multiple ...

Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...