Measuring population health using personal health messages.

Brant Chee, Richard Berlin, Bruce Schatz

Research output: Contribution to journalArticle

Abstract

Personal health messages - inter patient communications within online communities; represent a new path towards providing continuous information about patient derived health status. We apply natural language processing techniques to personal health messages from online message boards to demonstrate the ability to track trends in people's positive or negative opinion (sentiment) regarding particular drugs over time. The significant changes in sentiment correspond to FDA announcements and other publicity. We envision such analysis as a scalable tool for pharmacovigilance hypothesis generation for possible adverse drug reactions.

Original languageEnglish (US)
Pages (from-to)92-96
Number of pages5
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
Volume2009
StatePublished - Dec 1 2009
Externally publishedYes

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Natural Language Processing
Pharmacovigilance
Aptitude
Health
Drug-Related Side Effects and Adverse Reactions
Population
Health Status
Communication
Pharmaceutical Preparations

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Measuring population health using personal health messages. / Chee, Brant; Berlin, Richard; Schatz, Bruce.

In: AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium, Vol. 2009, 01.12.2009, p. 92-96.

Research output: Contribution to journalArticle

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