Systematic review shows machine learning identifies risk factors for musculoskeletal disorders, suggesting improved risk assessment methods.
ML models demonstrate strong capability in discriminating WRMSDs risk and identifying multidimensional risk factors compared with traditional statistical approaches. These models highlight complex interrelationships between ergonomic and psychosocial exposures. Future research should incorporate external validation, objective exposure measurements, and standardized ML reporting frameworks to enhance methodological transparency and generalizability.
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Sallehhudin et al. (2026) studied this question.
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