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

Natural Language Processing (650) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1573) Social Media for Diabetes (34)

Published on in Vol 4, No 4 (2016): Oct-Dec

This is a member publication of Florida State University

Consumers’ Use of UMLS Concepts on Social Media: Diabetes-Related Textual Data Analysis in Blog and Social Q&A Sites

Consumers’ Use of UMLS Concepts on Social Media: Diabetes-Related Textual Data Analysis in Blog and Social Q&A Sites

Consumers’ Use of UMLS Concepts on Social Media: Diabetes-Related Textual Data Analysis in Blog and Social Q&A Sites

Authors of this article:

Min Sook Park1 Author Orcid Image ;   Zhe He1, 2 Author Orcid Image ;   Zhiwei Chen3 Author Orcid Image ;   Sanghee Oh1 Author Orcid Image ;   Jiang Bian4 Author Orcid Image
Article Authors Cited by (21) Tweetations (4) Metrics

Min Sook Park   1 * , PhD ;   Zhe He   1, 2 * , PhD ;   Zhiwei Chen   3 , BEng ;   Sanghee Oh   1 , PhD ;   Jiang Bian   4 , PhD

1 School of Information, Florida State University, Tallahassee, FL, United States

2 Institute for Successful Longevity, Florida State University, Tallahassee, FL, United States

3 Department of Computer Science, Florida State University, Tallahassee, FL, United States

4 Department of Health Outcomes and Policy, University of Florida, Gainesville, FL, United States

*these authors contributed equally

Corresponding Author:

  • Zhe He, PhD
  • School of Information
  • Florida State University
  • Louis Shores Building
  • 142 Collegiate Loop
  • Tallahassee, FL, 32306
  • United States
  • Phone: 1 850-644-5775
  • Fax: 1 850-644-9763
  • Email: zhe.he@cci.fsu.edu