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http://dx.doi.org/10.9728/dcs.2018.19.5.981

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

Yoon, Jee-Eun (Dept. of Business Administration, Graduate School, Hanyang University)
Suh, Chang-Jin (School of Business, Hanyang University)
Publication Information
Journal of Digital Contents Society / v.19, no.5, 2018 , pp. 981-993 More about this Journal
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.
Keywords
Smart Healthcare; Text Analysis; Topic Modeling; Word cloud; Ego Network Analysis;
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Times Cited By KSCI : 1  (Citation Analysis)
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