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논문 기본 정보

자료유형
학술저널
저자정보
이태경 (Kumoh National Institute of Technology) 허성민 (Kumoh National Institute of Technology) 신승혁 (Kumoh National Institute of Technology) 양지연 (Kumoh National Institute of Technology)
저널정보
한국컴퓨터정보학회 한국컴퓨터정보학회논문지 한국컴퓨터정보학회 논문지 제23권 제12호(통권 제177호)
발행연도
2018.12
수록면
153 - 161 (9page)

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초록· 키워드

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In this paper, we propose a text-centered approach to identify the research trend of thyroid cancer in Korea. We incorporate statistical analysis, text mining and machine learning techniques with our clinical insights to find connective associations between terminologies and to discover informative clusters of literatures. The incidence of thyroid cancer in Korea increased rapidly in the 2000s, which fueled the debate regarding overdiagnosis, but recently the number of patients undergoing surgery has decreased significantly due to conscious reform efforts from various circles. We analyzed the abstracts and keywords of related research papers from DBpia. It was found that most were case reports in the 1980s, and some papers in the 1990s discussed the early detection of thyroid cancer by mass screening. While many papers focused on different diagnostic techniques and the detection of small cancers in the 2000s, many emphasized more on the quality of life of patients in the 2010s. There was an apparent change in the topics of thyroid cancer research over past decades. The results of this study would serve as a reference guide for current and future research directions.

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Abstract
Ⅰ. Introduction
Ⅱ. Data Collection & Methods
Ⅲ. Results
Ⅳ. Discussion & Conclusion
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