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Title: DiseaseAtlas: multi-facet visual analytics for online disease articles. Author: Sun J, Gotz D, Cao N. Journal: Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():1123-6. PubMed ID: 21096321. Abstract: Online health information portals provide valuable content to casual consumers. However, the page-oriented nature of these resources makes it difficult for users to understand the overall information space and navigate the complex relationships between various diseases. We have developed a visual analytic system named DiseaseAtlas that helps users navigate a large set of disease-related documents and understand multi-dimensional relationships for key semantic concepts such as symptoms and treatments. This paper describes several unique aspects of DiseaseAtlas and demonstrates its capabilities through a case study.[Abstract] [Full Text] [Related] [New Search]