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To develop a classification model for accurately discriminating common infectious diseases in Zhejiang province, China.Symptoms and signs, abnormal lab test results, epidemiological features, as well as the incidence rates were treated as predictors, and were collected from the published literature and a national surveillance system of infectious disease. A classification model was established using naïve Bayesian classifier. Dataset from historical outbreaks was applied for model validation, while sensitivity, specificity, accuracy, ar
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