토픽모델링과 에고 네트워크 분석을 활용한 스마트 헬스케어 연구동향 분석

초록

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.

키워드