Title

Dynamic Generation of a Health Topics Overview from Consumer Health Information Documents

Student Co-author

CGU Graduate

Document Type

Article

Department

Information Systems and Technology (CGU)

Publication Date

2008

Abstract

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&37;, recall is 75&37;, and F-score is 78&37;, and precision between sites did not significantly differ.

Rights Information

© 2008 American Medical Informatics Association

Terms of Use & License Information

Terms of Use for work posted in Scholarship@Claremont.