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Exploratory analysis using machine learning algorithms to predict pinch strength by anthropometric and socio-demographic features

  • Published:2024-03-30 Issue:2 Volume:30 Page:518-531
  • ISSN:1080-3548
  • Container-title:International Journal of Occupational Safety and Ergonomics
  • language:en
  • Short-container-title:International Journal of Occupational Safety and Ergonomics

Author:

Rostamzadeh Sajjad1,Abouhossein Alireza1,Alam Khurshid2,Vosoughi Shahram3ORCID,Sattari Seyedeh Sousan4

Affiliation:

1. Department of Ergonomics, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran

2. Department of Mechanical and Industrial Engineering, College of Engineering, Sultan Qaboos University, Muscat, Oman

3. Department of Occupational Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Iran

4. Department of Maxillofacial Surgery, Sorbonne University, Paris, France

Funder

Iran University of Medical Sciences

Publisher

Informa UK Limited

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