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.

1. Introduction
2. Materials and Methods
    2.1 Data Collection
    2.2 Context Awareness
    2.3 Feedback
3. Results
    3.1 Personalized Context Awareness Systemfor Chronic Lower Back Pain
    3.2 Pilot Study
4. Discussion
5. Conclusions
References

• Dowon Yoon(경희대학교 산업경영공학과) | 윤도원
• Chang-Ho Jihn(경희대학교 산업경영공학과) | 진창호 Corresponding Author