텍스트 마이닝을 이용한 의료윤리 토픽 모델링

• 영문명: Modeling of Medical Ethics Topics Using Text Mining
• 발행기관: 고신대학교 전인간호과학연구소
• 저자명: 손수경(Suekyung Sohn) 조경원(Kyoung Won Cho) 김선녀(Seonnyeo Kim)
• 간행물 정보: 『전인간호과학학술지』제13권, 26~32쪽, 전체 7쪽
• 주제분류: 의약학 > 간호학
• 파일형태: PDF
• 발행일자: 2020.10.31

영문 초록

This paper is to understand the main topics of medical ethics, and to figure out the current situation through internet news articles using text mining technique. Methods: Total of 2,778 articles were collected by searching with the keyword “Medical ethic” in Korea 3 influential newspapers from 1966 to 2018 through internet news web sites. We used Latent Dirichlet Allocation (LDA) algorithm for data analysis. Results: When the topics of medical ethics are arranged in two dimensions, a topic about the nature of medical ethics is located at the center. 5 themes of topics were identified such as lawmaking and administration , medical echosystem and bioethics , medical ethics related industry , advances in medical technology . There was no significant difference in the percentage of topics between them. We can understand that as medical technology develops rapidly, the issue of medical ethics is also changing at a rapid pace. Conclusion: It is necessary to find the essence and direction of medical ethics that respect life in a rapidly changing society. Further research is required to conduct in-depth analysis about topics of medical ethics according to the year of publication.

목차

서 론

연구방법

연구결과

논 의

키워드

Medical ethics Topic modeling Text mining