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
Link To Document :
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