Machine learning for clustering and classification of early knee osteoarthritis using single-leg sta...
Machine learning for clustering and classification of early knee osteoarthritis using single-leg standing kinematics
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Author / Creator
Publisher
United States: SAGE Publishing
Journal title
Language
English
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Publication information
Publisher
United States: SAGE Publishing
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Scope and Contents
Contents
Detection of early osteoarthritis (EOA) of the knee is crucial for effective management and improved outcomes. This study investigated the application of machine learning techniques to single-leg standing (SLS) kinematics to classify and predict EOA. (1) To identify distinct groups based on SLS kinematic patterns using unsupervised learning algorit...
Alternative Titles
Full title
Machine learning for clustering and classification of early knee osteoarthritis using single-leg standing kinematics
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_c55d25a4d4d8494ba43f9a1d223c449a
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c55d25a4d4d8494ba43f9a1d223c449a
Other Identifiers
ISSN
2055-2076
E-ISSN
2055-2076
DOI
10.1177/20552076251326226
