# Reports: 8,554,531
Data Range: 2004q1 - 2016q3
AERSMine





AERSMine: Help Files

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. It is a web-database for mining data contained in the FDA Adverse Event Reporting System.