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Applying classification and anomaly detection techniques to real-world data
Content Type: Abstract
Real-world public health data often provide numerous challenges. There may be a limited amount of background data, data dropouts, noise, and human error. The data from an emergency department (ED) in Urbana, IL includes a … read more… week- ends, and also adjust for the total number of ED visits on a particular day. For comparison, we grouped the … weekends and weekdays, and adjusted for total number of visits. Results For the Flu-Like Illness Syndrome, the … from weekday data and adjusted for the total number of ED visits was the most sensitive, generating alerts on 19 days …

