Gait biomechanics phenotypes among total knee arthroplasty candidates by machine learning cluster analysis
Author:
Affiliation:
1. School of Biomedical Engineering Dalhousie University Halifax Nova Scotia Canada
2. Faculty of Computer Science Dalhousie University Halifax Nova Scotia Canada
3. Department of Surgery Dalhousie University Halifax Nova Scotia Canada
Funder
Canadian Institutes of Health Research
Nova Scotia Health Research Foundation
Mitacs
Publisher
Wiley
Subject
Orthopedics and Sports Medicine
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/jor.25363
Reference51 articles.
1. A Systems View of Risk Factors for Knee Osteoarthritis Reveals Insights into the Pathogenesis of the Disease
2. OARSI-FDA initiative: defining the disease state of osteoarthritis
3. Osteoarthritis: a progressive disease with changing phenotypes
4. OARSI guidelines for the non-surgical management of knee, hip, and polyarticular osteoarthritis
5. Individual Gait Features Are Associated with Clinical Improvement After Total Knee Arthroplasty
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