Title :
DiseaseAtlas: Multi-facet visual analytics for online disease articles
Author :
Sun, Jimeng ; Gotz, David ; Cao, Nan
fDate :
Aug. 31 2010-Sept. 4 2010
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.
Keywords :
bioinformatics; diseases; medical information systems; patient treatment; portals; DiseaseAtlas; diseases; multifacet visual analytics; online disease articles; online health information portals; semantic concepts; symptoms; treatments; Context; Data models; Human immunodeficiency virus; Image color analysis; Medical diagnostic imaging; Visualization; Computer Graphics; Data Mining; Disease; Documentation; Information Storage and Retrieval; Internet; Natural Language Processing; Patient Education as Topic; User-Computer Interface;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
Print_ISBN :
978-1-4244-4123-5
DOI :
10.1109/IEMBS.2010.5627103
