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Understanding and Predicting Cognitive Improvement of Young Adults in Ischemic Stroke Rehabilitation Therapy

Accurate early predictions of a patient's likely cognitive improvement as a result of a stroke rehabilitation programme can assist clinicians in assembling more effective therapeutic programs. In addition, sufficient levels of explainability, which can justify these predictions, are a crucial requir...

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Principais autores: Helard Becerra Martinez, Katryna Cisek, Alejandro García-Rudolph, John D. Kelleher, Andrew Hines
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2022-07-01
coleção:Frontiers in Neurology
Assuntos:
cognitive improvement
AI explainability
machine learning (ML)
ischemic stroke
predictive models
cognitive therapy
Acesso em linha:https://www.frontiersin.org/articles/10.3389/fneur.2022.886477/full
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