A deep learning approach for lower back-pain risk prediction during manual lifting

  title={A deep learning approach for lower back-pain risk prediction during manual lifting},
  author={K. Snyder and T. Brennan and M. Lu and Rashmi Jha and M. Barim and Marie Hayden and D. Werren},
  journal={PLoS ONE},
  • K. Snyder, T. Brennan, +4 authors D. Werren
  • Published 2021
  • Computer Science, Engineering, Mathematics, Medicine
  • PLoS ONE
  • Occupationally-induced back pain is a leading cause of reduced productivity in industry. Detecting when a worker is lifting incorrectly and at increased risk of back injury presents significant possible benefits. These include increased quality of life for the worker due to lower rates of back injury and fewer workers’ compensation claims and missed time for the employer. However, recognizing lifting risk provides a challenge due to typically small datasets and subtle underlying features in… CONTINUE READING


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