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.
|Number of pages
|AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
|Published - 2008
ASJC Scopus subject areas
- General Medicine