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ARS Home » Research » Publications at this Location » Publication #227561

Title: Predictive Analytics for Safer Food Supply

Author
item Kelley, Lynda C
item Dubrawski, Artur
item Chen, Lujie
item Cray, Paula
item Dunham, Adrienne
item Mcglinchey, Beth
item Huckabee, Mark

Submitted to: Meeting Abstract
Publication Type: Abstract Only
Publication Acceptance Date: 10/12/2008
Publication Date: 10/12/2008
Citation: Kelley, L., Dubrawski, A., Chen, L., Cray, P.J., Dunham, A., Mcglinchey, B., Huckabee, M. 2008. Predictive Analytics for Safer Food Supply. Institute for Operations Research and the Management Sciences. October 12-15, 2008. Washington, DC.

Interpretive Summary:

Technical Abstract: Science based risk analysis improves the USDA Food Safety Inspection Service’s ability to combat threats to public health from food-borne illness by allowing the Agency to focus resources on hazards that pose the greatest risk. Innovative algorithms enable detection and containment of threat by analysis of multiple streams of microbiological and sub-typing data, as well as data representing other risk factors such as inspection noncompliance, establishment sizes, and types of produced food.