DiseaseAtlas: Multi-facet visual analytics for online disease articles

Author

Sun, Jimeng ; Gotz, David ; Cao, Nan

fYear

2010

fDate

Aug. 31 2010-Sept. 4 2010

Firstpage

1123

Lastpage

1126

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE

Conference_Location

Buenos Aires

ISSN

1557-170X

Print_ISBN

978-1-4244-4123-5

Type

conf

DOI

10.1109/IEMBS.2010.5627103

Filename

5627103