Machine-learning prediction of self-care activity by grip strengths of both hands in poststroke hemiplegia

To investigate the relationships between grip strengths and self-care activities in stroke patients using a non-linear support vector machine (SVM). Overall, 177 inpatients with poststroke hemiparesis were enrolled. Their grip strengths were measured using the Jamar dynamometer on the first day of r...

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Detalles Bibliográficos
Autores principales: Suzuki, Makoto, Sugimura, Seiichiro, Suzuki, Takako, Sasaki, Shotaro, Abe, Naoto, Tokito, Takahide, Hamaguchi, Toyohiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2020
Materias:
4600
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7440355/
https://www.ncbi.nlm.nih.gov/pubmed/32176098
http://dx.doi.org/10.1097/MD.0000000000019512

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7440355/
https://www.ncbi.nlm.nih.gov/pubmed/32176098
http://dx.doi.org/10.1097/MD.0000000000019512

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