Semantic Analysis of Open Source Data for  Syndromic Surveillance

doi:10.5210/ojphi.v9i1.7651

Published on 02.May.2017 in Vol 9, No 1 (2017):

Semantic Analysis of Open Source Data for Syndromic Surveillance

Erica Briscoe¹ ; Scott Appling¹ ; Edward Clarkson¹ ; Nikolay Lipskiy² ; James Tyson² ; Jacqueline Burkholder²

The full text of this article is available as a PDF download by clicking here.

Article Authors Cited by (1) Tweetations Metrics

Books/Policy Documents

Samaras L, García-Barriocanal E, Sicilia M. Innovation in Health Informatics. View

Citation

Please cite as:

Briscoe E, Appling S, Clarkson E, Lipskiy N, Tyson J, Burkholder J
Semantic Analysis of Open Source Data for Syndromic Surveillance
Online J Public Health Inform 2017;9(1):e61991
doi: 10.5210/ojphi.v9i1.7651 PMCID: 5462228

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

Language Processing, Classifiers, and Syndrome Definitions (47)

Download

Download PDF

Share Article

Share on Bluesky Share on Twitter Share on Facebook Share on LinkedIn