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Drug–drug interactions: A Data Mining Approach
Mammadov, M.
Drug–drug interaction is one of the important prob- lems of Adverse Drug Reaction (ADR). This presen- tation describes a data mining approach to this prob- lem developed at the University of Ballarat. This approach is based on drug–reaction relationships rep- resented in the form of a vector of weights; each vec- tor related to a particular drug can be considered as a pattern in causing adverse drug reactions. Opti- mal patterns for drugs are determined as a solution to some global optimization problem. Although this approach can be used for solving many ADR prob- lems, we concentrate only on drug–drug interactions. The numerical implementations are carried out on dif- ferent classes of reactions from the Australian Ad- verse Drug Reaction Advisory Committee (ADRAC) database. The results obtained extend our under- standing of the drug–drug interaction from a data mining point of view. |
Cite as: Mammadov, M. (2011). Drug–drug interactions: A Data Mining Approach. In Proc. Australasian Data Mining Conference (AusDM 11) Ballarat, Australia. CRPIT, 121. Vamplew, P., Stranieri, A., Ong, K.-L., Christen, P. and Kennedy, P. J. Eds., ACS. 7 |
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