DocumentCode :
2095818
Title :
Visual Analytical Methods to Identify Family Clustered Diseases
Author :
Fuchsberger, Christian ; Forer, Lukas ; Pattaro, Cristian ; Hicks, Andrew ; Pramstaller, Peter ; Miksch, Silvia
Author_Institution :
Dept. of Genetic Med., EURAC, Bolzano
fYear :
2008
fDate :
17-19 June 2008
Firstpage :
602
Lastpage :
604
Abstract :
The study of isolated populations is a promising approach for the identification of genes conferring susceptibility to disease. Due to the complex genealogies of such populations epidemiological studies are challenging.We present ongoing research to using a visual analytics based approach for the identification of diseases that cluster in families, risk factors and heritability patterns.
Keywords :
diseases; medical computing; pattern clustering; complex genealogies; family clustered diseases; heritability patterns; visual analytical methods; Cardiac disease; Cardiovascular diseases; Data visualization; Diabetes; Genetics; History; Information analysis; Knowledge engineering; Medical diagnostic imaging; Visual analytics; Clustering; Isolated Populations; Pedigree drawing; Visual Analytics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer-Based Medical Systems, 2008. CBMS '08. 21st IEEE International Symposium on
Conference_Location :
Jyvaskyla
ISSN :
1063-7125
Print_ISBN :
978-0-7695-3165-6
Type :
conf
DOI :
10.1109/CBMS.2008.60
Filename :
4562066
Link To Document :
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