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

Practical Solutions and Value Highlights

Study Overview

Research focused on using Machine Learning (ML) to analyze how ergonomic interventions and work factors impact neck-related musculoskeletal disorders in office workers.

Key Findings

ML models accurately identified factors influencing disorders, such as age, BMI, interventions, quality of work life, and psychological factors.

Practical Applications

Understanding these factors can guide individual and management interventions to reduce work-related musculoskeletal disorders in the neck area.

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