Mining Adverse Drug Reactions with E-Science Workflows

Author

Curcin, V. ; Ghanem, M. ; Molokhia, M. ; Guo, Y. ; Darlington, J.

Author_Institution

Dept. of Comput., Imperial Coll. London, London

fYear

2008

fDate

18-20 Dec. 2008

Firstpage

1

Lastpage

5

Abstract

In this paper, we describe the challenges faced when conducting large-scale adverse drug reaction (ADR) studies by mining large-scale primary care databases. We provide a high-level view of the design of a generic informatics infrastructure that is needed to address such challenges. We also present our realization of such an infrastructure using a re-usable workflow-based e-Science middleware, and describe our experiences using the system based on studying the risks associated of statin induced myopathy and myalgia from UK-based data sources.

Keywords

data mining; database management systems; diseases; drugs; medical information systems; middleware; muscle; UK-based data sources; adverse drug reactions; database mining; e-Science middleware; generic informatics infrastructure; large-scale primary care database; myalgia; re-usable workflow; statin induced myopathy; Clinical trials; Data processing; Databases; Drugs; Educational institutions; Electronic mail; Event detection; Informatics; Large-scale systems; Reproducibility of results; ADR; case-control; case-crossover; e-Science; methodology; workflows;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering Conference, 2008. CIBEC 2008. Cairo International

Conference_Location

Cairo

Print_ISBN

978-1-4244-2694-2

Electronic_ISBN

978-1-4244-2695-9

Type

conf

DOI

10.1109/CIBEC.2008.4786100

Filename

4786100