- Title
- The study of drug-reaction relationships using global optimization techniques
- Creator
- Mammadov, Musa; Rubinov, Alex; Yearwood, John
- Date
- 2007
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/35741
- Identifier
- vital:540
- Identifier
-
https://doi.org/10.1080/10556780600883684
- Identifier
- ISSN:1055-6788
- Abstract
- In this paper we develop an optimization approach for the study of adverse drug reaction (ADR) problems. This approach is based on drug-reaction relationships represented in the form of a vector of weights, which can be defined as a solution to some global optimization problem. Although it can be used for solving many ADR problems, we concentrate on two of them here: the accurate identification of drugs that are responsible for reactions that have occurred, and drug-drug interactions. Based on drug-reaction relationships, we formulate these problems as an optimization problem. The approach is applied to cardiovascularn-type reactions from the Australian Adverse Drug Reaction Advisory Committee (ADRAC) database. Software based on this approach has been developed and could have beneficial use in prescribing.; C1
- Publisher
- Taylor & Francis
- Relation
- Optimization Methods and Software Vol. 22, no. 1 (2007), p. 99-126
- Rights
- Copyright Taylor & Francis
- Rights
- This metadata is freely available under a CCO license
- Subject
- 0103 Numerical and Computational Mathematics; Adverse Drug Reaction (ADR); Drug-drug interaction; Global optimisation; Multi-label classification; Suspected drugs; Cardiovascular system; Database systems; Adverse Drug Reaction Reporting Systems
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