Development and internal validation of a machine learning–based prediction model for pulmonary hypertension in COPD

A CatBoost-based prediction model using readily obtainable noninvasive variables can estimate PH risk in COPD with good accuracy and provide transparent feature-level explanations, potentially facilitating earlier detection and risk-stratified management.