Machine learning approach for prediction of outcomes in anticoagulated patients with atrial fibrillation

The accuracy of available prediction tools for clinical outcomes in patients with atrial fibrillation (AF) remains modest. Machine Learning (ML) has been used to predict outcomes in the AF population, but not in a population entirely on anticoagulant therapy.

Source: International Journal of Cardiology - April 22, 2024 Category: Cardiology Authors: Andrea Bernardini, Luca Bindini, Emilia Antonucci, Martina Berteotti, Betti Giusti, Sophie Testa, Gualtiero Palareti, Daniela Poli, Paolo Frasconi, Rossella Marcucci Source Type: research