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sharing and mining of rare drug reactions and symptoms

I.Roseleen Vino,D.Kerana Hanirex,K.P.Kaliyamurthie

Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology

ISSN: 2321-3337          Impact Factor:1.521         Volume:3         Issue:1         Year: 26 June,2014         Pages:263-268

International Journal of Advanced Research in Computer Science Engineering and Information Technology

Abstract

Adverse Drug Reaction (ADR) is one of the greatest consequence in the evaluation of drug safety. Also, most of the adverse drug reactions are not discovered during limited pre-marketing clinical trials; but, they are only observed only after a long term post-marketing observation of drug usage.The exposure of adverse drug reaction,is an important method of research technique for the pharmaceutical industry. Recently, more number of adverse events and the improvement of data mining technology have motivated the development of statistical and data mining methods for the detection of Adverse drug reactions. These methods, without integration into the knowledge discovery systems, are very tedious and uncomfortable for users and the processe for exploration are time-consuming.

Kewords

Adverse drug reactions,data mining methods.

Reference

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