Earticle

초록

영어

We adapted association rules of data mining in order to investigate the relation among the factors of musculoskeletal disorders and proposed the method of preventing the musculoskeletal disorders associated with multiple logistic regression in previous study. This multiple logistic regression was difficult to establish the method of preventing musculoskeletal disorders in case factors can't be managed by worker himself, i.e., age, gender, marital status. In order to solve this problem, we devised association rules of factors of musculoskeletal disorders and proposed the interactive method of preventing the musculoskeletal disorders, by applying association rules with the result of multiple logistic regression in previous study. The result of correlation analysis showed that prevention method of one part also prevents musculoskeletal disorders of other parts of body.

목차

Abstract
 1. 서론
 2. 연구대상 및 방법
  2.1 연구대상 사업장 및 연구대상자 선정
  2.2 자료수집 및 방법
  2.3 분석방법
 3. 다변량 로지스틱 회귀분석 및 결과
  3.1 다변량 로지스틱 회귀분석
  3.2 주요 관련 요인의 도출
 4. 연관규칙 적용
  4.1 통증 부위별 연관규칙
  4.2 통증 부위별 상관분석
 5. 결론 및 제안
 6. 참고문헌

키워드

저자

• 박승헌 [ Seung Hun Park | 인하대학교 산업공학과 ]
• 이석환 [ Seog Hwan Lee | 인하대학교 산업공학과 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  대한안전경영과학회지 [Journal of Korea Safety Management & Science]

• 간기

  계간

• pISSN

  1229-6783

• eISSN

  2288-1484

• 수록기간

  1999~2025

• 십진분류

  KDC 530 DDC 620