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논문검색

직업성 피부질환의 텍스트마이닝, CONCOR 분석을 통한 연구동향 분석

원문정보

Analysis of Research Trends through Text Mining and CONCOR Analysis of Occupational Skin Diseases

박창용, 백은미, 장우석, 강동구

피인용수 : 0(자료제공 : 네이버학술정보)

초록

영어

Purpose: The purpose of this study is to analyze occupational skin diseases and construction skin diseases in Korea using word frequency analysis, N-gram analysis, and CONCOR analysis to examine the research trends of occupational skin diseases. Method: The research method was conducted in a total of five stages, followed by data collection, data preprocessing, word frequency analysis, N-gram analysis, and CONCOR analysis. On June 1, 2022, 66 search results were analyzed under the theme of occupational and constructive skin diseases, and duplicate papers, contents unrelated to research purposes, and data with low relevance were excluded. Result: As a result of analyzing the word frequency, disease ranked the highest, and as a result of analyzing the connection strength between words, disease showed the highest connection strength in the skin. CONCOR analysis showed the occurrence status of skin diseases in Group 1, allergic contact dermatitis in Group 2, chemical exposure reaction in Group 3, disease prevention and monitoring system in Group 4 workplace, and occupational disease prevention in Group 5 were classified as health diseases and two were identified as chemicals. Conclusion: In summary, immediate countermeasures are needed to prevent occupational skin diseases, and programs that provide appropriate protective equipment and compensation along with health education, disease treatment, and counseling should be developed.

목차

Abstract
Ⅰ. 서론
Ⅱ. 연구 방법
1. 연구 설계
2. 연구 도구
3. 자료분석
Ⅲ. 연구 결과
1. 단어빈도(TF) 분석
2. 단어 간 연결강도 분석(N-gram)
3. 구조적 등위성 분석(CONCOR)
Ⅳ. 논의
Ⅴ. 결론 및 제언
참고문헌

저자정보

  • 박창용 Chang-Yong Park. 숭실대학교 안전보건융합대학원 박사과정
  • 백은미 Eun-Mi Baek. 가톨릭대학교 의과대학 예방의학교실 연구교수
  • 장우석 Woo-seok Jang. 가톨릭대학교 보건대학원 대학원생
  • 강동구 Dong-Gu Kang. 가톨릭대학교 보건대학원 대학원생

참고문헌

자료제공 : 네이버학술정보

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