Predictive Models for Food Code Violations

摘要

Many health departments use hypothetical "risk classification" concepts, often including establishments' use of "risky" food processing procedures, to prioritize inspections. In this paper, descriptions of some strategies for scheduling inspections based on this sort of perceived risk will be followed by a review of more fine-tuned classification models based on inspection history and other factors. A strategy for scheduling inspections based on detection of sporadic cases of foodborne illness will then be outlined. The advent of social media, machine learning and portable digital technology (smart phones) have begun to revolutionize this field, although some of the investigative techniques used in earlier work have not yet been applied to the newer approaches. The goals of this review are to bring some of these strategies together and offer recommendations for advancing them.