Machine learning analysis to predict the need for ankle foot orthosis in patients with stroke

We investigated the potential of machine learning techniques, at an early stage after stroke, to predict the need for ankle–foot orthosis (AFO) in stroke patients. We retrospectively recruited 474 consecutive stroke patients. The need for AFO during ambulation (output variable) was classified accord...

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Detalles Bibliográficos
Autores principales: Choo, Yoo Jin, Kim, Jeoung Kun, Kim, Jang Hwan, Chang, Min Cheol, Park, Donghwi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8055674/
https://www.ncbi.nlm.nih.gov/pubmed/33875716
http://dx.doi.org/10.1038/s41598-021-87826-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8055674/
https://www.ncbi.nlm.nih.gov/pubmed/33875716
http://dx.doi.org/10.1038/s41598-021-87826-3

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