Machine learning-based prediction of clinical outcomes after first-ever ischemic stroke

Machine learning-based prediction of clinical outcomes after first-ever ischemic stroke

BackgroundAccurate prediction of clinical outcomes in individual patients following acute stroke is vital for healthcare providers to optimize treatment strategies and plan further patient care. Here, we use advanced machine learning (ML) techniques to systematically compare the prediction of functi...

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Bibliographic Details
Main Authors: Lea Fast, Uchralt Temuulen, Kersten Villringer, Anna Kufner, Huma Fatima Ali, Eberhard Siebert, Shufan Huo, Sophie K. Piper, Pia Sophie Sperber, Thomas Liman, Matthias Endres, Kerstin Ritter
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Neurology
Subjects:
stroke
machine learning
outcome prediction
post-stroke depression
mortality
functional outcome
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2023.1114360/full

Internet

https://www.frontiersin.org/articles/10.3389/fneur.2023.1114360/full

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