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

Infodemiology and Infoveillance (1331) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1618) Information Retrieval (279) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1031) Crowdsourcing and Mechanical Turks (97)

Published on in Vol 17, No 6 (2015): June

A Scalable Framework to Detect Personal Health Mentions on Twitter

A Scalable Framework to Detect Personal Health Mentions on Twitter

A Scalable Framework to Detect Personal Health Mentions on Twitter

Authors of this article:

Zhijun Yin1 Author Orcid Image ;   Daniel Fabbri1, 2 Author Orcid Image ;   S Trent Rosenbloom2, 3, 4, 5 Author Orcid Image ;   Bradley Malin1, 2 Author Orcid Image
Article Authors Cited by (41) Tweetations (32) Metrics

Zhijun Yin   1 ;   Daniel Fabbri   1, 2 , PhD ;   S Trent Rosenbloom   2, 3, 4, 5 , MD,MPH ;   Bradley Malin   1, 2 , PhD

1 Dept. of Electrical Engineering & Computer Science, Vanderbilt University, Nashville, TN, United States

2 Dept. of Biomedical Informatics, Vanderbilt University, Nashville, TN, United States

3 Dept. of Medicine, Vanderbilt Univerisity, Nashville, TN, United States

4 School of Nursing, Vanderbilt University, Nashville, TN, United States

5 Dept. of Pediatrics, Vanderbilt University, Nashville, TN, United States

Corresponding Author:

  • Bradley Malin, PhD
  • Dept. of Electrical Engineering & Computer Science
  • Vanderbilt University
  • Department of Biomedical Informatics, Vanderbilt University
  • 2525 West End Avenue, Suite 1030
  • Nashville, TN, 37203
  • United States
  • Phone: 1 615 343 9096
  • Fax: 1 615 936 8545
  • Email: b.malin@vanderbilt.edu