만성 요통에 대한 맞춤형 상황 인지 시스템

• 영문명: Personalized Context-Aware System for Chronic Low Back Pain
• 발행기관: 한국산업경영시스템학회
• 저자명: 윤도원(Dowon Yoon) 진창호(Chang-Ho Jihn)
• 간행물 정보: 『산업경영시스템학회지』제44권 제4호, 23~31쪽, 전체 9쪽
• 주제분류: 공학 > 산업공학
• 파일형태: PDF
• 발행일자: 2021.12.31

영문 초록

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.

목차

Ⅰ. Introduction

Ⅱ. Materials and Methods

Ⅲ. Results

Ⅳ. Discussion

Ⅴ. Conclusions

References

키워드

Chronic Low Back Pain Context-Aware Model Personalized Healthcare Machine Learning Mobile Health