Prediction of New-Onset Atrial Fibrillation in Patients with Acute Myocardial Infarction: A Machine Learning Approach

Background/Objectives: New-onset atrial fibrillation is a common complication of acute myocardial infarction and is associated with increased mortality, heart failure, and recurrent cardiovascular events. Prediction models for the occurrence of atrial fibrillation may facilitate early risk stratification, improve patient monitoring, and support personalized therapeutic decision-making in clinical practice.