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.
@article{arxiv.1512.03990,
title = {Cloud-based Electronic Health Records for Real-time, Region-specific Influenza Surveillance},
author = {Mauricio Santillana and Andre Nguyen and Tamara Louie and Anna Zink and Josh Gray and Iyue Sung and John S. Brownstein},
journal= {arXiv preprint arXiv:1512.03990},
year = {2018}
}