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- Title
Use of data mining at the Food and Drug Administration.
- Authors
Duggirala, Hesha J.; Tonning, Joseph M.; Smith, Ella; Bright, Roselie A.; Baker, John D.; Ball, Robert; Bell, Carlos; Bright-Ponte, Susan J.; Botsis, Taxiarchis; Bouri, Khaled; Boyer, Marc; Burkhart, Keith; Condrey, G. Steven; Chen, James J.; Chirtel, Stuart; Filice, Ross W.; Francis, Henry; Hongying Jiang; Levine, Jonathan; Martin, David
- Abstract
<bold>Objectives: </bold>This article summarizes past and current data mining activities at the United States Food and Drug Administration (FDA).<bold>Target Audience: </bold>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.<bold>Scope: </bold>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.
- Subjects
DATA mining; FOOD industry; MEDICAL supplies; NUTRITION; UNITED States. Food &; Drug Administration; MANAGEMENT
- Publication
Journal of the American Medical Informatics Association, 2016, Vol 23, Issue 2, p428
- ISSN
1067-5027
- Publication type
journal article
- DOI
10.1093/jamia/ocv063