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This paper is in the following e-collection/theme issue:

Language Processing, Classifiers, and Syndrome Definitions (47)

Published on in Vol 9, No 1 (2017):

JMIR Publications logo: Advancing Digital Health & Open Science

Semantic Analysis of Open Source Data for Syndromic Surveillance

Semantic Analysis of Open Source Data for Syndromic Surveillance

Authors of this article:

Erica Briscoe1 ;   Scott Appling1 ;   Edward Clarkson1 ;   Nikolay Lipskiy2 ;   James Tyson2 ;   Jacqueline Burkholder2
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Article Authors Cited by (1) Tweetations Metrics

Erica Briscoe   1 ;   Scott Appling   1 ;   Edward Clarkson   1 ;   Nikolay Lipskiy   2 ;   James Tyson   2 ;   Jacqueline Burkholder   2

1 Georgia Tech Research Institute (GTRI), Georgia Institute of Technology, Atlanta, GA, USA

2 Centers for Diseases Control and Prevention (CDC), Office of Public Health Prepa redness and Response’s (OPHPR), Division of Emergency Operations (DEO), Atlanta, GA, USA

Corresponding Author:

  • Erica Briscoe
  • Georgia Tech Research Institute (GTRI), Georgia Institute of Technology, Atlanta, GA, USA