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 estimates of flu outbreaks in the United States.
CITATION STYLE
Santillana, M., Nguyen, A. T., Louie, T., Zink, A., Gray, J., Sung, I., & Brownstein, J. S. (2016). Cloud-based Electronic Health Records for Real-time, Region-specific Influenza Surveillance. Scientific Reports, 6. https://doi.org/10.1038/srep25732
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