Mining association patterns of drug-interactions using post marketing FDA’s spontaneous reporting data

Journal of Biomedical Informatics(2016)

引用 67|浏览65
暂无评分
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.
更多
查看译文
关键词
Pharmacovigilance,Association rule mining,Proportional reporting ratio,Drug–drug interaction,RxNorm,Logistic regression
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要