DocumentCode :
2791049
Title :
Towards an era of epidemiological databases for autoimmune diseases
Author :
Gkantouna, V. ; Ioannou, M. ; Tsakalidis, Adam ; Viennas, E. ; Poulas, Konstantinos ; Tsaknakis, J. ; Tzimas, Giannis
Author_Institution :
Dept. of Comput. Eng. & Inf., Univ. of Patras, Patras, Greece
fYear :
2012
fDate :
11-13 Nov. 2012
Firstpage :
69
Lastpage :
73
Abstract :
Nowadays, autoimmune diseases are among the leading causes of death for a remarkable number of patients all around the world. Recent studies have witnessed that the epidemiological indices for a specific disease can vary according to ethnic and geographical parameters. As a result, the genetic epidemiology of autoimmune diseases is a major matter of study for the worldwide scientific community. We have previously reported the development of dAUTObase (www.dAUTObase.org), a database recording solely epidemiological data of autoimmune diseases in various populations around the globe. Here, we present an important upgrade of the dAUTObase system focused on the development of new data visualization tools oriented to further assist the effective data querying and the mining process.
Keywords :
data mining; data visualisation; database management systems; diseases; geography; medical computing; query processing; autoimmune diseases; dAUTObase system; data mining process; data querying; data visualization tools; epidemiological databases; epidemiological indices; ethnic parameters; genetic epidemiology; geographical parameters; worldwide scientific community; Data visualization; Databases; Diseases; Filtering; Sociology; Statistics; autoimmune diseases; epidemiological databases; querying tools; visualization tools;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics & Bioengineering (BIBE), 2012 IEEE 12th International Conference on
Conference_Location :
Larnaca
Print_ISBN :
978-1-4673-4357-2
Type :
conf
DOI :
10.1109/BIBE.2012.6399709
Filename :
6399709
Link To Document :
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