Stroke prediction in elderly patients with atrial fibrillation using machine learning combined clinical and left atrial appendage imaging phenotypic features.

Abstract excerpt

BACKGROUND: Atrial fibrillation (AF) is one of the primary etiologies for ischemic stroke, and it is of paramount importance to delineate the risk phenotypes among elderly AF patients and to investigate more efficacious models for predicting stroke risk. METHODS: This single-center prospective cohort study collected clinical data and cardiac computed tomography angiography (CTA) images from elderly AF patients....

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Atrial Fibrillation
• Share to Computed Tomography Angiography