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Research Trend Analysis on Smart healthcare by using Topic Modeling and Ego Network Analysis

토픽모델링과 에고 네트워크 분석을 활용한 스마트 헬스케어 연구동향 분석

  • Yoon, Jee-Eun (Dept. of Business Administration, Graduate School, Hanyang University) ;
  • Suh, Chang-Jin (School of Business, Hanyang University)
  • 윤지은 (한양대학교 일반대학원 경영학과) ;
  • 서창진 (한양대학교 경영학부)
  • Received : 2018.05.15
  • Accepted : 2018.05.25
  • Published : 2018.05.31

Abstract

Smart healthcare is convergence of ICT and healthcare services, and interdisciplinary research has been actively conducted in various fields. The objective of this study is to investigate trends of smart healthcare research using topic modeling and ego network analysis. Text analysis, frequency analysis, topic modeling, word cloud, and ego network analysis were conducted for the abstracts of 2,690 articles in Scopus from 2001 to April 2018. Topic Modeling analysis resulted in eight topics, Topics included "AI in healthcare", "Smart hospital", "Healthcare platform", "Blockchain in healthcare", "Smart health data", "Mobile healthcare", " Wellness care", "Cognitive healthcare". In order to examine the topic modeling results core deeply, we analyzed word cloud and ego network analysis for eight topics. This study aims to identify trends in smart healthcare research and suggest implications for establishing future research direction.

스마트 헬스케어는 ICT 분야와 의료서비스 분야가 융 복합 된 분야로 다양한 분야에서 학제 간 융 복합 연구가 활발히 이루어지고 있다. 본 연구는 토픽모델링(Topic Modeling)과 에고 네트워크 분석(Ego Network Analysis)을 활용하여 스마트 헬스케어 연구동향을 살피는데 그 목적이 있다. 이를 위해 2001년부터 2018년 4월까지 Scopus에 게재된 2,690편을 대상으로 텍스트 분석, 각 기간별 빈도분석, 토픽모델링, 워드 클라우드, 에고 네트워크 분석을 수행하였다. 토픽 모델링 분석 결과 8개의 주요 연구토픽이 도출되었다. 8개 주요 연구토픽은 "AI in healthcare", " Smart hospital", "Healthcare platform", " blockchain in healthcare", "Smart health data", "Mobile healthcare", "Wellness care", "Cognitive healthcare" 순으로 나타났다. 토픽모델링 결과를 보다 심도 있게 살펴보기 위해 연구토픽별 에고 네트워크 분석을 하였다. 이를 통해 스마트 헬스케어 연구동향을 파악하고, 향후 연구의 방향성을 수립하는데 시사점을 제시하고자 한다.

Keywords

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