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KMID : 1150520200130010026
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Journal of Wholistic Nursing Science
2020 Volume.13 No. 1 p.26 ~ p.32
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Modeling of Medical Ethics Topics Using Text Mining
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Sohn Sue-Kyung
Cho Kyoung-Won
Kim Seon-Nyeo
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Abstract
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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.
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KEYWORD
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Medical ethics, Topic modeling, Text mining
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Listed journal information
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