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Monitoring Food Safety by Detecting Patterns in Consumer Complaints

机译:通过检测消费者投诉中的模式来监控食品安全

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摘要

EPFC (Emerging Patterns in Food Complaints) is the analytical component of the Consumer Complaint Monitoring System, designed to help the food safety officials to efficiently and effectively monitor incoming reports of adverse effects of food on its consumers. These reports, collected in a passive surveillance mode, contain multi-dimensional, heterogeneous and sparse snippets of specific information about the consumers' demographics, the kinds, brands and sources of the food involved, symptoms of possible sickness, characteristics of foreign objects which could have been found in food, involved locations and times of occurrences, etc. Statistical data mining component of the system empowers its users, allowing for increased accuracy, specificity and timeliness of detection of naturally occurring problems as well as of potential acts of agro-terrorism. The system's main purpose is to enhance discovery and mitigation of food borne threats to public health in the USDA Food Safety Inspection Service regulated products. As such, it is being envisioned as one of the key components of the nationwide bio-security protection infrastructure. It has been accepted for use and it is currently going through the final stages of deployment. This paper explains the motivation, key design concepts and reports the system's utility and performance observed so far.
机译:EPFC(食品投诉中的新模式)是消费者投诉监控系统的分析组件,旨在帮助食品安全官员高效,有效地监控食品对消费者不利影响的传入报告。这些报告以被动监视方式收集,包含有关消费者的人口统计信息,所涉及食物的种类,品牌和来源,可能的疾病症状,可能引起异物特征的特定信息的多维,异类和稀疏片段。已经在食品,涉及的位置和发生的时间等方面找到了该系统。统计数据挖掘组件为用户提供了能力,从而提高了检测自然发生的问题以及潜在的农业恐怖主义行为的准确性,特异性和及时性。 。该系统的主要目的是在美国农业部食品安全检验局(USDA Food Safety Inspection Service)监管的产品中,增强发现和缓解食源性食品对公共健康的威胁。因此,它被设想为全国生物安全保护基础设施的关键组成部分之一。它已被接受使用,并且目前正在部署的最后阶段。本文解释了动机,关键设计概念,并报告了迄今为止观察到的系统的实用性和性能。

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