iADRs: towards a web-based interactive adverse drug reaction analyzing system

Adverse Drug Reaction (ADR) is one of the most important issues on drug safety assessment. Many adverse drug reactions cannot be discovered through limited pre-marketing clinical trials; instead, they can only be recognized by a long term of post-marketing surveillance of drug usages. In this paper, we propose an interactive system platform for ADRs detection. By integrating the concept of ADRs data warehouse and innovative data mining techniques, the proposed system can not only support OLAP style of multidimensional analysis of ADRs, but also offer interactive discovery of associations between drugs and symptoms, called drug-ADR association rule, which can be further specialized by other factors interesting to users, such as demographic information. Experiments indicate that interesting and valuable drug-ADR association rules can be efficiently mined.