Displaying results 1 - 2 of 2
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Searching for Complex Patterns Using Disjunctive Anomaly Detection
Content Type: Abstract
Modern biosurveillance data contains thousands of unique time series defined across various categorical dimensions (zipcode, age groups, hospitals). Many algorithms are overly specific (tracking each time series independently would often miss early… read more… simultaneously (e.g. food poisoning and flu) making it hard to detect and characterize the individual events. We … simultaneously (e.g. food poisoning and flu) making it hard to detect and characterize the individual events. We … -
Detection of multiple overlapping anomalous clusters in categorical data
Content Type: Abstract
Syndromic surveillance typically involves collecting time-stamped transactional data, such as patient triage or examination records or pharmacy sales. Such records usually span multiple categorical features, such as location, age… read more… Weekly Epidemiological Reports3. The data stores patient visits spanning 26 regions and 9 diseases reported over 2.5 …