학술논문

Visual Analytical Methods to Identify Family Clustered Diseases
Document Type
Conference
Source
2008 21st IEEE International Symposium on Computer-Based Medical Systems Computer-Based Medical Systems, 2008. CBMS '08. 21st IEEE International Symposium on. :602-604 Jun, 2008
Subject
Bioengineering
Computing and Processing
Communication, Networking and Broadcast Technologies
Robotics and Control Systems
Cardiovascular diseases
Cardiac disease
Genetics
Visual analytics
History
Data visualization
Medical diagnostic imaging
Information analysis
Knowledge engineering
Diabetes
Visual Analytics
Isolated Populations
Pedigree drawing
Clustering
Language
ISSN
1063-7125
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.