Identification of adverse drug-drug interactions through causal association rule discovery from spontaneous adverse event reports

作者：

Highlights：

• A causal association rule discovery algorithm is proposed for drug-drug interaction problem.

• The properties of V-structures in causality are effectively utilized in the search for causal associations.

• The proposed algorithm identifies more drug interactions in FDA adverse event reporting system compared to AR.

摘要

•A causal association rule discovery algorithm is proposed for drug-drug interaction problem.•The properties of V-structures in causality are effectively utilized in the search for causal associations.•The proposed algorithm identifies more drug interactions in FDA adverse event reporting system compared to AR.

论文关键词：Drug-drug interaction,Adverse drug reaction,Causality,Association rule

论文评审过程：Received 3 December 2016, Revised 29 January 2017, Accepted 31 January 2017, Available online 10 February 2017, Version of Record 16 February 2017.

论文官网地址：https://doi.org/10.1016/j.artmed.2017.01.004