Mortality prediction in the elderly patients with coronary artery disease and atrial fibrillation: a retrospective machine learning approach

Abstract

Background Elderly patients with coexisting coronary artery disease (CAD) and atrial fibrillation (AF) are at significantly increased risk of mortality. Accurate risk stratification is crucial for improving clinical management, yet a dedicated predictive tool for this specific population is lacking.