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机译:数据挖掘以识别食源性疾病暴发的模式
Department of Agricultural and Biosystems Engineering, Iowa State University, 1553 Food Sciences Building, Ames, IA 50011, United States Department of Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, IA 50011, United States;
Department of Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, IA 50011, United States;
Department of Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, IA 50011, United States;
Department of Agricultural and Biosystems Engineering, Iowa State University, Ames, IA 50011, United States Department of Food Science and Human Nutrition, Iowa State University, Ames, IA 50011, United States;
foodborne disease outbreaks; surveillance databases; data mining; classification; association rule mining; attribute selection;
机译:改善美国对食源性疾病暴发的反应:增强食源性疾病暴发反应中心(FoodCORE)的调查结果,2010-2012年
机译:使用爆发监控数据分析将人类食源性疾病归因于日本的食物来源和水中
机译:2003-2008年食源性疾病主动监测网络(foodnet)站点进行的食源性疾病暴发调查的特征
机译:自动检测可能发生的同源食源性疾病暴发
机译:用于早期疾病暴发检测的数据挖掘。
机译:改善美国对食源性疾病暴发的反应:增强食源性疾病暴发反应中心(FoodCORE)的调查结果2010-2012年
机译:用于识别遗传性疾病的数据挖掘和模式识别模型:挑战和启示