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Novel Data‐Mining Methodologies for Adverse Drug Event Discovery and Analysis
Author(s) -
Harpaz R,
DuMouchel W,
Shah N H,
Madigan D,
Ryan P,
Friedman C
Publication year - 2012
Publication title -
clinical pharmacology and therapeutics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.941
H-Index - 188
eISSN - 1532-6535
pISSN - 0009-9236
DOI - 10.1038/clpt.2012.50
Subject(s) - observational study , library science , general partnership , medicine , research center , informatics , family medicine , political science , computer science , law , pathology
An important goal of the health system is to identify new adverse drug events (ADEs) in the postapproval period. Data‐mining methods that can transform data into meaningful knowledge to inform patient safety have proven essential for this purpose. New opportunities have emerged to harness data sources that have not been used within the traditional framework. This article provides an overview of recent methodological innovations and data sources used to support ADE discovery and analysis. Clinical Pharmacology & Therapeutics (2012); 91 6, 1010–1021. doi: 10.1038/clpt.2012.50