텍스트 마이닝을 이용한 의료윤리 토픽 모델링

Modeling of Medical Ethics Topics Using Text Mining

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.