Identification of Osteoarthritis Kinematic Phenotypes Using Cluster Analysis on Knee Kinesiography Data-Reference-Cited by-同舟云学术

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Identification of Osteoarthritis Kinematic Phenotypes Using Cluster Analysis on Knee Kinesiography Data

Published:2024-04-27 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)
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Author:

Mezghani Neila¹,Loulou Karim¹,Ouakrim Youssef¹,Ayena Johannes C.¹,Cagnin Alix²,Choinière Manon³,Bureau Nathalie J.³,Hagemeister Nicola⁴

Affiliation:

1. Applied Artificial Intelligence Institute (I2A), TELUQ University,Montreal,Qc,Canada,H2S 3L4

2. Emovi inc.,Montreal,Qc.,Canada,H4C 2C7

3. University of Montreal 2900 Édouard-Montpetit,Faculty of Medicine,Montreal,Qc,Canada,H3T 1J4

4. École de Technologie Supérieure 100 R. Notre Dame O,Department of Systems Engineering,Montreal,Qc,Canada,H3C 1K3

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10596138/10596139/10596254.pdf?arnumber=10596254

Reference19 articles.

1. Prognosis of Pain and Physical Functioning in Patients With Knee Osteoarthritis: A Systematic Review and Meta-Analysis

2. Functional knee phenotypes: a novel classification for phenotyping the coronal lower limb alignment based on the native alignment in young non-osteoarthritic patients

3. Classification of patients with knee osteoarthritis in clinical phenotypes: Data from the osteoarthritis initiative

4. Identification of phenotypes with different clinical outcomes in knee osteoarthritis: Data from the osteoarthritis initiative

5. Severity grading mechanical biomarkers of knee osteoarthritis

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