Cloud-based Electronic Health Records for Real-time, Region-specific Influenza Surveillance

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 epidemio...

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Autores principales: Santillana, M., Nguyen, A. T., Louie, T., Zink, A., Gray, J., Sung, I., Brownstein, J. S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4863169/
https://www.ncbi.nlm.nih.gov/pubmed/27165494
http://dx.doi.org/10.1038/srep25732
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author Santillana, M.
Nguyen, A. T.
Louie, T.
Zink, A.
Gray, J.
Sung, I.
Brownstein, J. S.
author_facet Santillana, M.
Nguyen, A. T.
Louie, T.
Zink, A.
Gray, J.
Sung, I.
Brownstein, J. S.
author_sort Santillana, M.
collection PubMed
description 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.
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spelling pubmed-48631692016-05-23 Cloud-based Electronic Health Records for Real-time, Region-specific Influenza Surveillance Santillana, M. Nguyen, A. T. Louie, T. Zink, A. Gray, J. Sung, I. Brownstein, J. S. Sci Rep Article 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. Nature Publishing Group 2016-05-11 /pmc/articles/PMC4863169/ /pubmed/27165494 http://dx.doi.org/10.1038/srep25732 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Santillana, M.
Nguyen, A. T.
Louie, T.
Zink, A.
Gray, J.
Sung, I.
Brownstein, J. S.
Cloud-based Electronic Health Records for Real-time, Region-specific Influenza Surveillance
title Cloud-based Electronic Health Records for Real-time, Region-specific Influenza Surveillance
title_full Cloud-based Electronic Health Records for Real-time, Region-specific Influenza Surveillance
title_fullStr Cloud-based Electronic Health Records for Real-time, Region-specific Influenza Surveillance
title_full_unstemmed Cloud-based Electronic Health Records for Real-time, Region-specific Influenza Surveillance
title_short Cloud-based Electronic Health Records for Real-time, Region-specific Influenza Surveillance
title_sort cloud-based electronic health records for real-time, region-specific influenza surveillance
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4863169/
https://www.ncbi.nlm.nih.gov/pubmed/27165494
http://dx.doi.org/10.1038/srep25732
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