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텍스트 마이닝 기법을 활용한 인공지능과 헬스케어 융․복합 분야 연구동향 분석Research Trend Analysis by using Text-Mining Techniques on the Convergence Studies of AI and Healthcare Technologies
- Other Titles
- Research Trend Analysis by using Text-Mining Techniques on the Convergence Studies of AI and Healthcare Technologies
- Issue Date
- Jun-2019
- Publisher
- 한국IT서비스학회
- Keywords
- Artificial Intelligence(AI); Healthcare; Text Mining; Topic Modeling; Ego Network Analysis; Word Cloud
- Citation
- 한국IT서비스학회지, v.18, no.2, pp.123 - 141
- Indexed
- KCI
- Journal Title
- 한국IT서비스학회지
- Volume
- 18
- Number
- 2
- Start Page
- 123
- End Page
- 141
- ISSN
- 1975-4256
- Abstract
- The goal of this study is to review the major research trend on the convergence studies of AI and healthcare technologies. For the study, 15,260 English articles on AI and healthcare related topics were collected from Scopus for 55 years from 1963, and text mining techniques were conducted. As a result, seven key research topics were defined : “AI for Clinical Decision Support System (CDSS)”, “AI for Medical Image”, “Internet of Healthcare Things (IoHT)”, “Big Data Analytics in Healthcare”, “Medical Robotics”, “Blockchain in Healthcare”, and “Evidence Based Medicine (EBM)”. The result of this study can be utilized to set up and develop the appropriate healthcare R&D strategies for the researchers and government. In this study, text mining techniques such as Text Analysis, Frequency Analysis, Topic Modeling on LDA (Latent Dirichlet Allocation), Word Cloud, and Ego Network Analysis were conducted.
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Related Researcher
- Suh, Chang Jin
- SCHOOL OF BUSINESS (SCHOOL OF BUSINESS ADMINISTRATION)