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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Wolters Kluwer Health
2020
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| Materias: | |
| 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 |