Detecting Anomalous Patterns in Pharmacy Retail Data
نویسندگان
چکیده
This paper describes a bio-surveillance system designed to detect anomalous patterns in pharmacy retail data. The system monitors national-level over-the-counter (OTC) pharmacy sales on a daily basis. Fast space-time scan statistics are used to detect disease outbreaks, and user feedback is incorporated to improve system utility and usability.
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