Visualization of health information with predications extracted using natural language processing and filtered using the UMLS.

Trudi Miller, Gondy Augusta Leroy

Research output: Contribution to journalArticle

Abstract

Increased availability of and reliance on written health information can tax the abilities of unskilled readers. We are developing a system that uses natural language processing to extract phrases, identify medical terms using the UMLS, and visualize the propositions. This system substantially reduces the amount of information a consumer must read, while providing an alternative to traditional prose based text.

Original languageEnglish (US)
Pages (from-to)1057
Number of pages1
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
StatePublished - 2008
Externally publishedYes

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Unified Medical Language System
Natural Language Processing
Health

ASJC Scopus subject areas

  • Medicine(all)

Cite this

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abstract = "Increased availability of and reliance on written health information can tax the abilities of unskilled readers. We are developing a system that uses natural language processing to extract phrases, identify medical terms using the UMLS, and visualize the propositions. This system substantially reduces the amount of information a consumer must read, while providing an alternative to traditional prose based text.",
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