Startseite
English
Erweiterte Suche
Durchblättern nach ...
Publikationen im Überblick
Ansprechpartner
Hilfe
DOI
PMC
 |
|
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
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.
Altmetric
Weitere Metriken?
Zusatzinfos bearbeiten
[➜Einloggen]
Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Schlagwörter
Aers ; Data Mining ; Fda ; Pharmacoepidemiology ; Pharmacovigilance; Quantitative Signal-detection; Pharmacovigilance; Databases; Safety; Eyeballs
ISSN (print) / ISBN
1053-8569
e-ISSN
1099-1557
Zeitschrift
Pharmacoepidemiology and Drug Safety
Quellenangaben
Band: 23,
Heft: 8,
Seiten: 795-801
Verlag
Wiley
Verlagsort
Hoboken
Nichtpatentliteratur
Publikationen
Begutachtungsstatus
Peer reviewed
Institut(e)
Institute of Computational Biology (ICB)