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Open Access Green as soon as Postprint is submitted to ZB.
AERS spider: An online interactive tool to mine statistical associations in Adverse Event Reporting System.
Pharmacoepidemiol. Drug Saf. 23, 795-801 (2014)
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.
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
Aers ; Data Mining ; Fda ; Pharmacoepidemiology ; Pharmacovigilance; Quantitative Signal-detection; Pharmacovigilance; Databases; Safety; Eyeballs
ISSN (print) / ISBN
1053-8569
e-ISSN
1099-1557
Quellenangaben
Volume: 23,
Issue: 8,
Pages: 795-801
Publisher
Wiley
Publishing Place
Hoboken
Non-patent literature
Publications
Reviewing status
Peer reviewed
Institute(s)
Institute of Computational Biology (ICB)