Combining clinical and imaging data for predicting functional outcomes after acute ischemic stroke: an automated machine learning approach

This study aimed to develop and validate an automated machine learning (ML) system that predicts 3-month functional outcomes in acute ischemic stroke (AIS) patients by combining clinical and neuroimaging features. Functional outcomes were categorized as unfavorable (modified Rankin Scale ≥ 3) or not...

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Detalles Bibliográficos
Autores principales: Jo, Hongju, Kim, Changi, Gwon, Dowan, Lee, Jaeho, Lee, Joonwon, Park, Kang Min, Park, Seongho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10560215/
https://www.ncbi.nlm.nih.gov/pubmed/37805568
http://dx.doi.org/10.1038/s41598-023-44201-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10560215/
https://www.ncbi.nlm.nih.gov/pubmed/37805568
http://dx.doi.org/10.1038/s41598-023-44201-8

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