Social visualization of health messages

Brant Chee, Karrie G. Karahalios, Bruce Schatz

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

Abstract

Seeking health-related information on the Internet is becoming commonplace. Patients use the Internet to learn about their conditions and medications, and to discuss symptoms and concerns with other patients on chat forums. Physicians also browse these chat sites to understand concerns, symptoms, and beliefs of patients that might not be revealed to the physician due to fear. This paper presents a series of visualization themes applied to patient-generated data to allow for the exploration of these data. The themes we address are clustering, history, and sentiment. We describe the process used to extract and prepare the data for visualization and conclude with a discussion of the visualizations and their use for a specific health community.

Original languageEnglish (US)
Title of host publicationProceedings of the 42nd Annual Hawaii International Conference on System Sciences, HICSS
DOIs
StatePublished - Apr 3 2009
Event42nd Annual Hawaii International Conference on System Sciences, HICSS - Waikoloa, HI, United States
Duration: Jan 5 2009Jan 9 2009

Publication series

NameProceedings of the 42nd Annual Hawaii International Conference on System Sciences, HICSS

Other

Other42nd Annual Hawaii International Conference on System Sciences, HICSS
Country/TerritoryUnited States
CityWaikoloa, HI
Period1/5/091/9/09

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

Fingerprint

Dive into the research topics of 'Social visualization of health messages'. Together they form a unique fingerprint.

Cite this