Premium
AERS spider: an online interactive tool to mine statistical associations in Adverse Event Reporting System
Author(s) -
Grigoriev Igor,
zu Castell Wolfgang,
Tsvetkov Philipp,
Antonov Alexey V.
Publication year - 2014
Publication title -
pharmacoepidemiology and drug safety
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.023
H-Index - 96
eISSN - 1099-1557
pISSN - 1053-8569
DOI - 10.1002/pds.3561
Subject(s) - medicine , adverse event reporting system , adverse effect , event (particle physics) , spider , data science , data mining , computer science , pharmacology , zoology , physics , quantum mechanics , biology
Background Exploration of the Adverse Event Reporting System (AERS) data by a wide scientific community is limited due to several factors. First, AERS data must be intensively preprocessed to be converted into analyzable format. Second, application of the currently accepted disproportional reporting measures results in false positive signals. Methods We proposed a data mining strategy to improve hypothesis generation with respect to potential associations. Results By numerous examples, we illustrate that our strategy controls the false positive signals. We implemented a free online tool, AERS spider ( www.chemoprofiling.org/AERS ). Conclusions We believe that AERS spider would be a valuable tool for drug safety experts. Copyright © 2014 John Wiley & Sons, Ltd.