AERSMine is a web application for mining data contained in the FDA Adverse Event Reporting System. AERSMine generates analyzable data matrices that can be filtered, clustered, and scored by a variety of approaches including the WHO signal reporting algorithms to identify unexpectedly high-risk subgroups. Our long-term hypothesis is that by correlation of adverse reactions with known drug-phenotype-gene relationships, we will improve our ability to modify therapeutic strategies and improve therapeutic efficacy.
Explore the drug-AE reports in the FDA AERS using Indications and population sub-groups as additional filters. Identify drug-AE associations using the WHO's Information Component (IC). The data can be exported for post-hoc analysis in tab-delimited format.
Study multiple drugs, indications and AEs by creating a customized matrix for post-hoc analysis. Identify risk signals of concomitant drug-intake by using the WHO approach Ω (Ω025), the lower limit of a two-sided 95% interval of a shrinkage observed-to-expected ratio for exploratory analysis of suspected drug-drug interaction in AERS data.
View the AERS data as flat files. The flat files are accessible from Explore and Set-Builder results by clicking on the underlined counts.