Machine learning approach for prediction of clinical outcomes in anticoagulated patients with atrial fibrillation
Anno:
2024
Background: Despite the availability of different risk scores, the accuracy of actual prediction tools for outcomes in patients with atrial fibrillation (AF) remains modest. Although Machine Learning (ML) has been used to predict outcomes in the AF population, evidences about outcome prediction in a population entirely on oral anticoagulation…