DocumentCode
501091
Title
Visual Analytic Methods for Hereditary Breast and Ovarian Cancer Risk Assessment
Author
Drohan, Brian ; Grinstein, Georges
Author_Institution
Univ. of Massachusetts, Lowell, MA, USA
fYear
2009
fDate
15-17 July 2009
Firstpage
171
Lastpage
176
Abstract
The identification and case management of those at risk high for Hereditary Breast and Ovarian Cancer (HBOC) involves the synthesis of data from self reported patient family history, quantitative risk model analysis, and current clinical standards of care. This paper describes an integrated interactive visualization and analysis approach for the presentation of these data that is suitable for large scale risk stratification. We describe this display of HBOC risk information integrated with a clinical decision support that is also potentially useful across other cancer syndromes.
Keywords
cancer; data visualisation; decision support systems; medical information systems; risk management; clinical decision support; data synthesis; hereditary breast cancer risk assessment; hereditary ovarian cancer risk assessment; interactive visualization; large scale risk stratification; quantitative risk model analysis; risk information; self reported patient family history; visual analytic methods; Breast; Cancer; Conference management; Data visualization; Genetic mutations; History; Risk analysis; Risk management; Testing; Visual analytics; BRCA; Risk Assessment; breast cancer risk; mutation probability;
fLanguage
English
Publisher
ieee
Conference_Titel
Visualisation, 2009. VIZ '09. Second International Conference in
Conference_Location
Barcelona
Print_ISBN
978-0-7695-3734-4
Type
conf
DOI
10.1109/VIZ.2009.44
Filename
5230738
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