Predicting short-term outcomes in atrial-fibrillation-related stroke using machine learning

Predicting short-term outcomes in atrial-fibrillation-related stroke using machine learning

BackgroundPrognostic prediction and the identification of prognostic factors are critical during the early period of atrial-fibrillation (AF)-related strokes as AF is associated with poor outcomes in stroke patients.MethodsTwo independent datasets, namely, the Korean Atrial Fibrillation Evaluation R...

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Bibliographic Details
Main Authors: Eun-Tae Jeon, Seung Jin Jung, Tae Young Yeo, Woo-Keun Seo, Jin-Man Jung
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-11-01
Series:Frontiers in Neurology
Subjects:
atrial fibrilation
machine learning
outcome
prediction model
ischemic stroke
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2023.1243700/full

Internet

https://www.frontiersin.org/articles/10.3389/fneur.2023.1243700/full

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