Information visualization of drug regimens from health messages

Brant Chee, Richard Berlin, Bruce Schatz

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

1 Scopus citations

Abstract

The Internet has become a popular venue for people to search for and discuss topics related to health. We present a method to extract information from informal health message groups to extract social networking information about the drug regimens people use and the communities people form. We present preliminary results from a visualization tool enabling health care professionals to create hypotheses about drug regimens within a particular community. We also present a second visualization tool enabling people in a health conversational community to find other people who are most similar to them based on the drugs they take.

Original languageEnglish (US)
Title of host publicationHEALTHINF 2009 - Proceedings of the 2nd International Conference on Health Informatics
Pages282-287
Number of pages6
StatePublished - Jul 21 2009
Event2nd International Conference on Health Informatics, HEALTHINF 2009 - Porto, Portugal
Duration: Jan 14 2009Jan 17 2009

Publication series

NameHEALTHINF 2009 - Proceedings of the 2nd International Conference on Health Informatics

Other

Other2nd International Conference on Health Informatics, HEALTHINF 2009
Country/TerritoryPortugal
CityPorto
Period1/14/091/17/09

Keywords

  • Drug regimen
  • Information visualization
  • Newsgroup
  • Personal health record
  • Social networking

ASJC Scopus subject areas

  • Software
  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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