Machine learning analysis to predict the need for ankle foot orthosis in patients with stroke
Abstract 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 classifi...
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Autores principales: | Yoo Jin Choo, Jeoung Kun Kim, Jang Hwan Kim, Min Cheol Chang, Donghwi Park |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
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Acceso en línea: | https://doaj.org/article/b7bde29910ea445fa0386bee38b81750 |
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