Exploring perceptual differences of experts and the public on diabetes

Dahee Lee, Won Chul Kim, Min Song

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

More and more health consumers have shared their interests in healthcare topics with peers in online health social websites while there has been the rapid surge in volume of biomedical literatures. In this paper, we applied entity and relation extraction techniques to academic literature and social media's contents in the field of diabetes to find distinctions between the perceptions of biomedical experts and the public. We analyzed and compared the experts' and the public's networks constituted by the extracted entities and relations. The results confirmed that there are some differences in their views, i.e., biomedical entities that interest them and relations within their knowledge range.

Original languageEnglish
Title of host publication2016 International Conference on Big Data and Smart Computing, BigComp 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3-9
Number of pages7
ISBN (Electronic)9781467387965
DOIs
Publication statusPublished - 2016
EventInternational Conference on Big Data and Smart Computing, BigComp 2016 - Hong Kong, China
Duration: 2016 Jan 182016 Jan 20

Publication series

Name2016 International Conference on Big Data and Smart Computing, BigComp 2016

Other

OtherInternational Conference on Big Data and Smart Computing, BigComp 2016
CountryChina
CityHong Kong
Period16/1/1816/1/20

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems
  • Information Systems and Management

Fingerprint Dive into the research topics of 'Exploring perceptual differences of experts and the public on diabetes'. Together they form a unique fingerprint.

Cite this