BioengineeringbioRxivPreprint
Comparing Machine Learning Approaches for Predicting CFD-Derived Stroke Risk Indicators in Atrial Fibrillation Patients
Paolo Melidoro, Riccardo Cavarra, Samia Mostafa…·Adelaide de Vecchi
This paper develops a computational fluid dynamics model of the left atrium in atrial fibrillation patients and uses machine learning to predict stroke risk indicators, finding that deep learning models achieve high accuracy.