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