Publication | Open Access
Biclustering of Adverse Drug Events in the FDA's Spontaneous Reporting System
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Citations
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References
2010
Year
The study introduces a biclustering‑based pharmacovigilance technique to identify drug groups sharing adverse events in the FDA’s spontaneous reporting system and demonstrates its utility for elucidating ADE etiology, discovering novel ADEs, aggregating terminologies, focusing research areas, and providing an exploratory data‑mining tool. The authors develop a biclustering taxonomy that identifies drug groups sharing adverse events, revealing numerous bona fide ADE biclusters, and propose a framework for aggregating terminologies and focusing research areas. Statistical tests show that the discovered bicluster structures are highly unlikely to arise by chance, and some indeterminate biclusters suggest previously unrecognized, potentially novel ADEs. Clinical Pharmacology & Therapeutics 2011; 89(2):243–250.
In this article, we present a new pharmacovigilance data mining technique based on the biclustering paradigm, which is designed to identify drug groups that share a common set of adverse events (AEs) in the spontaneous reporting system (SRS) of the US Food and Drug Administration (FDA). A taxonomy of biclusters is developed, revealing that a significant number of bona fide adverse drug event (ADE) biclusters have been identified. Statistical tests indicate that it is extremely unlikely that the bicluster structures thus discovered, as well as their content, could have arisen by mere chance. Some of the biclusters classified as indeterminate provide support for previously unrecognized and potentially novel ADEs. In addition, we demonstrate the potential importance of the proposed methodology in several important aspects of pharmacovigilance such as providing insight into the etiology of ADEs, facilitating the identification of novel ADEs, suggesting methods and a rationale for aggregating terminologies, highlighting areas of focus, and providing an exploratory tool for data mining. Clinical Pharmacology & Therapeutics (2011) 89 2, 243–250. doi:10.1038/clpt.2010.285
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