The study of drug-reaction relationships using global optimization techniques

MƏMMƏDOV M., Rubinov A., Yearwood J.

Optimization Methods and Software, vol.22, no.1, pp.99-126, 2007 (SCI-Expanded, Scopus) identifier

  • Nəşrin Növü: Article / Abstract
  • Cild: 22 Say: 1
  • Nəşr tarixi: 2007
  • Doi nömrəsi: 10.1080/10556780600883684
  • jurnalın adı: Optimization Methods and Software
  • Jurnalın baxıldığı indekslər: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Səhifə sayı: pp.99-126
  • Açar sözlər: Adverse drug reaction, Drug-drug interaction, Global optimization, Multi-label classification, Suspected drugs
  • Adres: Bəli

Qısa məlumat

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.