This study created a highly accurate machine learning model to predict acute exacerbations of COPD (AECOPD) using data from 878 patients. By integrating biochemical, demographic, and pulmonary function parameters with stepwise Cox regression and random survival forest algorithms, the model outperformed traditional methods, demonstrating excellent predictive performance and stability.