Interpretable machine learning for prediction of clinical outcomes in acute ischemic stroke

BACKGROUND AND AIMS: Predicting the prognosis of acute ischemic stroke (AIS) is crucial in a clinical setting for establishing suitable treatment plans. This study aimed to develop and validate a machine learning (ML) model that predicts the functional outcome of AIS patients and provides interpreta...

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Detalles Bibliográficos
Autores principales: Lee, Joonwon, Park, Kang Min, Park, Seongho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10513028/
https://www.ncbi.nlm.nih.gov/pubmed/37745661
http://dx.doi.org/10.3389/fneur.2023.1234046

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10513028/
https://www.ncbi.nlm.nih.gov/pubmed/37745661
http://dx.doi.org/10.3389/fneur.2023.1234046

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