Dynamic generation of a health topics overview from consumer health information documents

Trudi Miller, Gondy Leroy

Research output: Contribution to journalArticlepeer-review

8 Scopus citations


Online health information use is increasing, but can be too difficult for consumers. We created a system that dynamically generates a health topics overview for consumer health web pages that organises the information into four consumer-preferred categories while displaying topic prevalence through visualisation. It accesses both a consumer health vocabulary and the Unified Medical Language System (UMLS). We evaluated its ability by calculating precision, recall, and F-score for phrase extraction and categorisation. We tested pages from three different consumer web sites. Overall, precision is 82%, recall is 75%, and F-score is 78%, and precision between sites did not significantly differ.

Original languageEnglish (US)
Pages (from-to)395-414
Number of pages20
JournalInternational Journal of Biomedical Engineering and Technology
Issue number4
StatePublished - 2008


  • Consumer health informatics
  • Information systems
  • Information technology
  • Natural language processing
  • Text visualisation
  • UMLS
  • Unified Medical Language System

ASJC Scopus subject areas

  • Biomedical Engineering


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