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A continuous GRASP to determine the relationship between drugs and adverse reactions

M. J. Hirsch (mjh8787***at***ufl.edu)
C. N. Meneses (claudio***at***ufl.edu)
P. M. Pardalos (pardalos***at***ufl.edu)
M. A. Ragle (raglem***at***ufl.edu)
M. G. C. Resende (mgcr***at***research.att.com)

Abstract: Adverse drug reactions (ADRs) are estimated to be one of the leading causes of death. Many national and international agencies have set up databases of ADR reports for the express purpose of determining the relationship between drugs and adverse reactions that they cause. We formulate the drug-reaction relationship problem as a continuous optimization problem and utilize C-GRASP, a new continuous global optimization heuristic, to approximately determine the relationship between drugs and adverse reactions. Our approach is compared against others in the literature and is shown to find better solutions.

Keywords: Adverse drug reactions/events, global optimization, continuous optimization, heuristic, GRASP, C-GRASP, stochastic local search, nonlinear programming.

Category 1: Applications -- Science and Engineering (Biomedical Applications )

Category 2: Combinatorial Optimization (Meta Heuristics )

Category 3: Global Optimization (Stochastic Approaches )

Citation: AT&T Labs Research Technical Report TD-6UPR92, AT&T Labs Research, Florham Park, NJ 07932 USA, October 18, 2006.

Download: [PDF]

Entry Submitted: 10/18/2006
Entry Accepted: 10/18/2006
Entry Last Modified: 10/18/2006

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