|
|
|
¼Õ¼ö°æ ( Sohn Sue-Kyung ) - Kosin University Department of Nursing
Á¶°æ¿ø ( Cho Kyoung-Won ) - Kosin University Department of Healthcare Administration ±è¼±³à ( Kim Seon-Nyeo ) - Kosin University Department of Nursing
|
|
Abstract
|
|
|
|
Purpose: 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.
|
|
KeyWords
|
|
Medical ethics, Topic modeling, Text mining
|
|
¿ø¹® ¹× ¸µÅ©¾Æ¿ô Á¤º¸
|
|
|
|
µîÀçÀú³Î Á¤º¸
|
|
|
|
|
|