Year: 2015
Type: review
Abstract: OBJECTIVES: This article summarizes past and current data mining activities at the United States Food and Drug Administration (FDA). TARGET AUDIENCE: We address data miners in all sectors, anyone interested in the safety of products regulated by the FDA (predominantly medical products, food, veterinary products and nutrition, and tobacco products), and those interested in FDA activities. SCOPE: Topics include routine and developmental data mining activities, short descriptions of mined FDA data, advantages and challenges of data mining at the FDA, and future directions of data mining at the FDA.
DOI: 10.1093/jamia/ocv063
Authors: Hesha J Duggirala, Joseph M Tonning, Ella Smith, Roselie A Bright, John D Baker, Robert Ball, Carlos Bell, Susan J Bright-Ponte, Taxiarchis Botsis, Khaled Bouri, Marc Boyer, Keith Burkhart, G Steven Condrey, James J Chen, Stuart Chirtel, Ross W Filice, Henry Francis, Hongying Jiang, Jonathan Levine, David Martin, Taiye Oladipo, Rene O’Neill, Lee Anne M. Palmer, Antonio Paredes, George Rochester, Deborah Sholtes, Ana Szarfman, Hui-Lee Wong, Zhiheng Xu, Taha Kass-Hout
Institutions: Center for Veterinary Medicine, United States Food and Drug Administration, Center for Drug Evaluation and Research, Center for Food Safety and Applied Nutrition, Center for Biologics Evaluation and Research, National Center for Toxicological Research, Center for Devices and Radiological Health, Center for Tobacco Products
Language: English
Subfield: Toxicology
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $4,332
OpenAlex ID: W980260691