A continuous GRASP to determine the relationship between drugs and adverse reactions
Journal Article
·
· AIP Conference Proceedings
- Raytheon, Inc., Network Centric Systems, P.O. Box 12248, St. Petersburg, FL, 33733 (United States)
- Department of Industrial and Systems Engineering, University of Florida, 303 Weil Hall, Gainesville, FL, 32611 (United States)
- Algorithms and Optimization Research Department, AT and T Labs Research, 180 Park Avenue, Room C241, Florham Park, NJ 07932 (United States)
Adverse drag 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.
- OSTI ID:
- 21039230
- Journal Information:
- AIP Conference Proceedings, Vol. 953, Issue 1; Conference: Conference on data mining, systems analysis and optimization in biomedicine, Gainesville, FL (United States), 28-30 Mar 2007; Other Information: DOI: 10.1063/1.2817334; (c) 2007 American Institute of Physics; Country of input: International Atomic Energy Agency (IAEA); ISSN 0094-243X
- Country of Publication:
- United States
- Language:
- English
Similar Records
Systematic drug safety evaluation based on public genomic expression (Connectivity Map) data: Myocardial and infectious adverse reactions as application cases
Study of serious adverse drug reactions using FDA-approved drug labeling and MedDRA
Comparing probabilistic and descriptive analyses of time–dose–toxicity relationship for determining no-observed-adverse-effect level in drug development
Journal Article
·
Fri Feb 13 00:00:00 EST 2015
· Biochemical and Biophysical Research Communications
·
OSTI ID:21039230
+3 more
Study of serious adverse drug reactions using FDA-approved drug labeling and MedDRA
Journal Article
·
Fri Mar 01 00:00:00 EST 2019
· BMC Bioinformatics
·
OSTI ID:21039230
+10 more
Comparing probabilistic and descriptive analyses of time–dose–toxicity relationship for determining no-observed-adverse-effect level in drug development
Journal Article
·
Thu Oct 15 00:00:00 EDT 2015
· Toxicology and Applied Pharmacology
·
OSTI ID:21039230
+5 more