Machine learning analysis to predict the need for ankle foot orthosis in patients with stroke
Machine learning analysis to predict the need for ankle foot orthosis in patients with stroke
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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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 according to the Medical Research Council (MRC) score fo...
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Full title
Machine learning analysis to predict the need for ankle foot orthosis in patients with stroke
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TN_cdi_doaj_primary_oai_doaj_org_article_b7bde29910ea445fa0386bee38b81750
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b7bde29910ea445fa0386bee38b81750
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-021-87826-3
