Modeling the Impact of Ergonomic Interventions and Occupational Factors on Work-Related Musculoskeletal Disorders in the Neck of Office Workers with Machine Learning Methods.

Journal: Journal of research in health sciences
PMID: 39311106

Abstract

BACKGROUND: Modeling with methods based on machine learning (ML) and artificial intelligence can help understand the complex relationships between ergonomic risk factors and employee health. The aim of this study was to use ML methods to estimate the effect of individual factors, ergonomic interventions, quality of work life (QWL), and productivity on work-related musculoskeletal disorders (WMSDs) in the neck area of office workers. A quasi-randomized control trial.

Authors

  • Mohammad Sadegh Sohrabi
    Center of Excellence for Occupational Health, Occupational Health and Safety Research Center, Hamadan University of Medical Sciences, Hamadan, Iran.
  • Hassan Khotanlou
    Department of Computer Engineering, Bu-Ali Sina University, Hamedan, Iran.
  • Rashid Heidarimoghadam
    Department of Ergonomics, Health Sciences Research Center, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
  • Iraj Mohammadfam
    Professor, Center of Excellence for Occupational Health Engineering, Occupational Health and Safety Research Center, Hamadan University of Medical Sciences, Hamadan, Iran.
  • Mohammad Babamiri
    Department of Ergonomics, Health Sciences Research Center, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
  • Ali Reza Soltanian
    Department of Biostatistics, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.

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