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

Peer-to-Peer Support and Online Communities (636) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Big Data (240) Machine Learning (1465) Natural Language Processing (692) Ontologies, Classifications, and Coding (239)

Published on in Vol 21, No 6 (2019): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12876, first published .
Mining of Textual Health Information from Reddit: Analysis of Chronic Diseases With Extracted Entities and Their Relations

Mining of Textual Health Information from Reddit: Analysis of Chronic Diseases With Extracted Entities and Their Relations

Mining of Textual Health Information from Reddit: Analysis of Chronic Diseases With Extracted Entities and Their Relations

Authors of this article:

Vasiliki Foufi1, 2 Author Orcid Image ;   Tatsawan Timakum3 Author Orcid Image ;   Christophe Gaudet-Blavignac1, 2 Author Orcid Image ;   Christian Lovis1, 2 Author Orcid Image ;   Min Song3 Author Orcid Image
Article Authors Cited by (43) Tweetations (67) Metrics

Vasiliki Foufi   1, 2 * , PhD ;   Tatsawan Timakum   3 * , BA, MA ;   Christophe Gaudet-Blavignac   1, 2 * , BSc CS, MMed ;   Christian Lovis   1, 2 , MD, MPH, FACMI ;   Min Song   3 , PhD

1 Division of Medical Information Sciences, University Hospitals of Geneva, Geneva, Switzerland

2 Faculty of Medicine, University of Geneva, Geneva, Switzerland

3 Department of Library and Information Science, Yonsei University, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Min Song, PhD
  • Department of Library and Information Science
  • Yonsei University
  • 50 Yonsei-ro, Seodaemun-gu
  • Seoul, 120-749
  • Republic of Korea
  • Phone: 82 22123-2405
  • Fax: 82 2393-8348
  • Email: min.song@yonsei.ac.kr