Transforming acute exacerbations of chronic obstructivepulmonary disease (AECOPD) risk assessment: Amulti-algorithm machine learning approach for preciseclinical phenotyping
A multi-algorithm machine learning approach enhances AECOPD prediction by identifying key clinical features, including biochemical indicators, demographic characteristics, and pulmonary function parameters. The integrated model demonstrates superior predictive performance compared to traditional methods.