Use of data mining at the Food and Drug Administration

Duggirala HJ, Tonning JM, Smith E, Bright RA, Baker JD, Ball R, Bell C, Bright-Ponte SJ, Botsis T, Bouri K, Boyer M, Burkhart K, Condrey GS, Chen JJ, Chirtel S, Filice RW, Francis H, Jiang H, Levine J, Martin D, Oladipo T, O'Neill R, Palmer LA, Paredes A, Rochester G, Sholtes D, Szarfman A, Wong HL, Xu Z, Kass-Hout T.

J Am Med Inform Assoc. 2016 Mar;23(2):428-34



OBJECTIVE: 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.