Application of the Random Forest Algorithm for Identifying Abnormal Patterns of Knee Joint Movement-Reference-Cited by-同舟云学术

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Application of the Random Forest Algorithm for Identifying Abnormal Patterns of Knee Joint Movement

Published:2024-03-27 Issue: Volume:13 Page:1-4
ISSN:
Container-title:2024 26th International Conference on Digital Signal Processing and its Applications (DSPA)
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Author:

Prodanovic Nikola¹,Dzunic Dragan²,Kocovic Vladimir²,Djordjevic Aleksandar²,Prodanovic Tijana³,Savic Suzana Petrovic²,Devedzic Goran²

Affiliation:

1. Clinic for Orthopaedic and Trauma Surgery, University Clinical Center Kragujevac,Zmaj Jovina,Kragujevac,Serbia

2. University of Kragujevac,Faculty of Engineering,Department for Production Engineering,Sestre Janjic,Kragujevac,Serbia

3. Center for Neonatology, Pediatric Clinic, University Clinical Center Kragujevac,Zmaj Jovina,Kragujevac,Serbia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10510016/10510018/10510126.pdf?arnumber=10510126

Reference22 articles.

1. Human Gait Analysis in Neurodegenerative Diseases: A Review

2. Current applications of gait analysis after total knee arthroplasty: A scoping review

3. Measurement of lower extremity kinematics during level walking

4. Recent Advances in Quantitative Gait Analysis Using Wearable Sensors: A Review

5. Gait Analysis and Knee Kinematics in Patients with Anterior Cruciate Ligament Rupture: Before and After Reconstruction

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