Identifying Drug-Drug Interactions by Data Mining: A Pilot Study of Warfarin-Associated Drug Interactions.
Journal:
Circulation. Cardiovascular quality and outcomes
PMID:
28263937
Abstract
BACKGROUND: Knowledge about drug-drug interactions commonly arises from preclinical trials, from adverse drug reports, or based on knowledge of mechanisms of action. Our aim was to investigate whether drug-drug interactions were discoverable without prior hypotheses using data mining. We focused on warfarin-drug interactions as the prototype.
Authors
Keywords
Administrative Claims, Healthcare
Aged
Aged, 80 and over
Anticoagulants
Atrial Fibrillation
Blood Coagulation
Data Mining
Drug Interactions
Drug Prescriptions
Female
Humans
International Normalized Ratio
Logistic Models
Machine Learning
Male
Pilot Projects
Polypharmacy
Predictive Value of Tests
Registries
Retrospective Studies
Risk Factors
Warfarin