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Cloud-based Electronic Health Records for Real-time, Region-specific Influenza Surveillance (1512.03990v1)
Published 13 Dec 2015 in stat.AP and stat.ML
Abstract: Accurate real-time monitoring systems of influenza outbreaks help public health officials make informed decisions that may help save lives. We show that information extracted from cloud-based electronic health records databases, in combination with machine learning techniques and historical epidemiological information, have the potential to accurately and reliably provide near real-time regional predictions of flu outbreaks in the United States.