Journal of Korean Society of Industrial and Systems Engineering (산업경영시스템학회지)

Society of Korea Industrial and System Engineering (한국산업경영시스템학회)
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Personalized Context-Aware System for Chronic Low Back Pain

만성 요통에 대한 맞춤형 상황 인지 시스템

  • Yoon, Dowon (Industrial & Management Systems Engineering, Kyung Hee University) ;
  • Jihn, Chang-Ho (Industrial & Management Systems Engineering, Kyung Hee University)
  • 윤도원 (경희대학교 산업경영공학과) ;
  • 진창호 (경희대학교 산업경영공학과)
  • Received : 2021.10.18
  • Accepted : 2021.10.26
  • Published : 2021.12.31
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Abstract

Treatment and management of chronic low back pain (CLBP) should be tailored to the patient's individual context. However, there are limited resources available in which to find and manage the causes and mechanisms for each patient. In this study, we designed and developed a personalized context awareness system that uses machine learning techniques to understand the relationship between a patient's lower back pain and the surrounding environment. A pilot study was conducted to verify the context awareness model. The performance of the lower back pain prediction model was successful enough to be practically usable. It was possible to use the information from the model to understand how the variables influence the occurrence of lower back pain.

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References

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