SMS scnews item created by Andrew Mathas at Thu 7 Feb 2013 1328
Type: Seminar
Distribution: World
Expiry: 15 Feb 2013
Calendar1: 15 Feb 2013 1100-1200
CalLoc1: AGR Carslaw 829
CalTitle1: AGR Seminar: Drug-drug interactions: A Data Mining Approach
Auth: mathas@pmathas.pc (assumed)

AGR Seminar

Drug-drug interactions: A Data Mining Approach

Dr Musa Mammadov (University of Ballarat)

Host venue
La Trobe University

Drug-drug interaction is one of the important problems of Adverse Drug Reaction (ADR). This presentation describes a data mining approach to this problem developed at the University of Ballarat. This approach is based on drug-reaction relationships represented in the form of a vector of weights. Each vector is related to a particular drug and can be considered as a pattern in causing adverse drug reactions. Optimal patterns for drugs are determined as a solution to some global optimization problem that considers, in some sense, a nonlinear modification of the linear list squares. Although this approach can be used for solving many ADR problems, we concentrate only on drug-drug interactions. Numerical implementations are carried out on different classes of reactions from the Australian Adverse Drug Reaction Advisory Committee (ADRAC) database. The results obtained extend our understanding of the drug-drug interaction from a data mining point of view.

Seminar convenor
Dr Andriy Olenko


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