Using clinical data to reclassify ESUS patients to large artery atherosclerotic or cardioembolic stroke mechanisms.
Journal:
Journal of neurology
PMID:
39708145
Abstract
PURPOSE: Embolic stroke of unidentified source (ESUS) represents 10-25% of all ischemic strokes. Our goal was to determine whether ESUS could be reclassified to cardioembolic (CE) or large-artery atherosclerosis (LAA) with machine learning (ML) using conventional clinical data.