Use of Screening Algorithms and Computer Systems to Efficiently Signal Higher-Than-Expected Combinations of Drugs and Events in the US FDA??s Spontaneous Reports Database
Top Cited Papers
- 1 January 2002
- journal article
- Published by Springer Nature in Drug Safety
- Vol. 25 (6) , 381-392
- https://doi.org/10.2165/00002018-200225060-00001
Abstract
Since 1998, the US Food and Drug Administration (FDA) has been exploring new automated and rapid Bayesian data mining techniques. These techniques have been used to systematically screen the FDA’s...Keywords
This publication has 4 references indexed in Scilit:
- Some US Food and Drug Administration perspectives on data mining for pediatric safety AssessmentCurrent Therapeutic Research, 2001
- How the US Food and Drug Administration defines and detects adverse drug eventsCurrent Therapeutic Research, 2001
- Data mining in the US Vaccine Adverse Event Reporting System (VAERS): early detection of intussusception and other events after rotavirus vaccinationVaccine, 2001
- Bayesian Data Mining in Large Frequency Tables, with an Application to the FDA Spontaneous Reporting SystemThe American Statistician, 1999