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Approaches to Prediction Models for Poison Control Center-Based Syndromic Surveillance for Foodborne Illness
Content Type: Abstract
To construct and validate a prediction algorithm that detects early increases in laboratory reports of enteric illnesses on the basis of calls to a poison control center reporting suspected foodborne illnesses.… using the first two and a half years of data (“training data set”), and validated in the remaining two and … hours of symptom onset. Forty-five percent of the PCHD “training” data set and 25% of the “test data set” was …