Prediction model of subacromial pain syndrome in assembly workers using shoulder range of motion and muscle strength based on support vector machine-Reference-Cited by-同舟云学术

Prediction model of subacromial pain syndrome in assembly workers using shoulder range of motion and muscle strength based on support vector machine

Published:2023-12 Issue: Volume: Page:1-10
ISSN:0014-0139
Container-title:Ergonomics
language:en
Short-container-title:Ergonomics

Author:

Kim Jun-Hee¹,Kwon Oh-Yun²,Hwang Ui-Jae¹,Jung Sung-Hoon³,Gwak Gyeong-Tae¹

Affiliation:

1. Laboratory of KEMA AI Research (KAIR), Department of Physical Therapy, College of Software and Digital Healthcare Convergence, Yonsei University, Wonju, South Korea

2. Laboratory of Kinetic Ergocise Based on Movement Analysis, Department of Physical Therapy, College of Software and Digital Healthcare Convergence, Yonsei University, Wonju, South Korea

3. Department of Physical Therapy, Division of Health Science, Baekseok University, Cheonan, South Korea

Funder

Yonsei University Mirae institutional review board

Publisher

Informa UK Limited

Subject

Physical Therapy, Sports Therapy and Rehabilitation,Human Factors and Ergonomics

Link

https://www.tandfonline.com/doi/pdf/10.1080/00140139.2023.2290983

Reference44 articles.

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2. Artificial intelligence (AI) in medicine, current applications and future role with special emphasis on its potential and promise in pathology: present and future impact, obstacles including costs and acceptance among pathologists, practical and philosophical considerations. A comprehensive review

3. Soft Tissue Mobilization and PNF Improve Range of Motion and Minimize Pain Level in Shoulder Impingement

4. Permutation importance: a corrected feature importance measure

5. Osteoarthritis of the Acromioclavicular Joint

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