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• W2077996385 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." @default.
• W2077996385 created "2016-06-24" @default.
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• W2077996385 date "2010-08-01" @default.
• W2077996385 modified "2023-10-01" @default.
• W2077996385 title "DiseaseAtlas: Multi-facet visual analytics for online disease articles" @default.
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• W2077996385 doi "https://doi.org/10.1109/iembs.2010.5627103" @default.
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