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

50Citations
Citations of this article
96Readers
Mendeley users who have this article in their library.

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 estimates of flu outbreaks in the United States.

References Powered by Scopus

A tutorial on support vector regression

9298Citations
N/AReaders
Get full text

Detecting influenza epidemics using search engine query data

3219Citations
N/AReaders
Get full text

The parable of google flu: Traps in big data analysis

1794Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Big data's role in precision public health

141Citations
N/AReaders
Get full text

Forecasting Zika Incidence in the 2016 Latin America Outbreak Combining Traditional Disease Surveillance with Search, Social Media, and News Report Data

129Citations
N/AReaders
Get full text

An early warning approach to monitor COVID-19 activity with multiple digital traces in near real time

112Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

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

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 35

59%

Researcher 15

25%

Professor / Associate Prof. 8

14%

Lecturer / Post doc 1

2%

Readers' Discipline

Tooltip

Medicine and Dentistry 17

34%

Computer Science 16

32%

Engineering 9

18%

Agricultural and Biological Sciences 8

16%

Article Metrics

Tooltip
Mentions
Blog Mentions: 3
News Mentions: 22
Social Media
Shares, Likes & Comments: 26

Save time finding and organizing research with Mendeley

Sign up for free