Abstract

Biomedical engineering research trend can be healthcare models with unobtrusive smart systems for monitoring vital signs and physical activity. Detecting infant facial cry because of inability to communicate pain, recognizing facial emotion to understand dysfunction mechanisms through micro expression or transform captured human expression with motion device into three-dimensional objects are some of the applied systems. Nowadays, collaborated with biomedical research, mining and analyzing social network can improve public and private health care sectors as well such as research health news shared on social media about pharmaceutical drugs, pandemics, or viral outbreaks. Due to the vast amount of shared news, there is an urgency to select and filter information to prevent the spread of hoax or fake news. We explored in depth some steps to classify hoaxes written as news articles. This discussion also encourages on how technologies of social network analysis could be used to make new kinds improvement in health care sectors. Then close with a description of limitless future possibilities of biomedical engineering research in social media.

Original languageEnglish
Title of host publication2nd International Conference on Computer Science and Computational Intelligence, ICCSCI 2017
EditorsWdodo Budiharto, Dewi Suryani, Lili A. Wulandhari, Andry Chowanda, Alexander A.S. Gunawan, Novita Hanafiah, Hanry Ham, Meiliana
PublisherElsevier B.V.
Pages3-9
Number of pages7
ISBN (Print)9781510849914
DOIs
Publication statusPublished - 2017
Event2nd International Conference on Computer Science and Computational Intelligence, ICCSCI 2017 - Bali, Indonesia
Duration: 13 Oct 201714 Oct 2017

Publication series

NameProcedia Computer Science
Volume116
ISSN (Electronic)1877-0509

Conference

Conference2nd International Conference on Computer Science and Computational Intelligence, ICCSCI 2017
Country/TerritoryIndonesia
CityBali
Period13/10/1714/10/17

Keywords

  • fake news
  • hoax
  • sentiment analysis
  • social network analysis

Fingerprint

Dive into the research topics of 'Keynote Speaker II: Biomedical Engineering Research in the Social Network Analysis Era: Stance Classification for Analysis of Hoax Medical News in Social Media'. Together they form a unique fingerprint.

Cite this