Mining association patterns of drug-interactions using post marketing FDA’s spontaneous reporting data
Journal of Biomedical Informatics(2016)
摘要
•Drug interactions contribute 6–30% of all adverse drug events.•Proper data preprocessing helps to avoid spurious DI signals.•We propose hybrid apriori that shows efficiency to extract DIs from FAERS data.•We can assess the algorithm performance despite lack of a domain gold standard.•We can validate potential DIAE signals via logistic regression modeling.
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关键词
Pharmacovigilance,Association rule mining,Proportional reporting ratio,Drug–drug interaction,RxNorm,Logistic regression
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