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, Jiang Hongying, Levine Jonathan, Martin David, Oladipo Taiye, O'Neill Rene, Palmer Lee Anne M, Paredes Antonio, Rochester George, Sholtes Deborah, Szarfman Ana, Wong Hui-Lee, Xu Zhiheng, Kass-Hout Taha
Center for Veterinary Medicine, FDA
Center for Drug Evaluation and Research, FDA.
J Am Med Inform Assoc. 2016 Mar;23(2):428-34. doi: 10.1093/jamia/ocv063. Epub 2015 Jul 23.
This article summarizes past and current data mining activities at the United States Food and Drug Administration (FDA).
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.
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.
本文总结了美国食品药品监督管理局(FDA)过去和当前的数据挖掘活动。
我们面向所有领域的数据挖掘人员、任何对FDA监管产品(主要是医疗产品、食品、兽药产品和营养产品以及烟草产品)安全感兴趣的人,以及对FDA活动感兴趣的人。
主题包括常规和发展中的数据挖掘活动、对挖掘出的FDA数据的简短描述、FDA数据挖掘的优势和挑战,以及FDA数据挖掘的未来方向。