Unveiling distinct kinematic profiles among total knee arthroplasty candidates through clustering technique

Abstract Background: Characterizing the condition of patients suffering from knee osteoarthritis is complex due to multiple associations between clinical, functional, and structural parameters. While significant variability exists within this population, especially in candidates for total knee arthr...

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Bibliographic Details
Published in:	Journal of Orthopaedic Surgery and Research
Main Authors:	Lina Abou-Abbas, Nicola Hagemeister, Youssef Ouakrim, Alix Cagnin, Philippe Laundry, Glen Richardson, Michael J. Dunbar, Neila Mezghani
Format:	Article
Language:	English
Published:	BMC 2024-08-01
Subjects:	Osteoarthritis KneeKG Clustering K-means Principal Component Analysis
Online Access:	https://doi.org/10.1186/s13018-024-04990-8

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