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

Peer-to-Peer Support and Online Communities (628) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1618)

Published on in Vol 19, No 8 (2017): August

Toward Predicting Social Support Needs in Online Health Social Networks

Toward Predicting Social Support Needs in Online Health Social Networks

Toward Predicting Social Support Needs in Online Health Social Networks

Authors of this article:

Min-Je Choi1 Author Orcid Image ;   Sung-Hee Kim2 Author Orcid Image ;   Sukwon Lee3 Author Orcid Image ;   Bum Chul Kwon4 Author Orcid Image ;   Ji Soo Yi5 Author Orcid Image ;   Jaegul Choo1 Author Orcid Image ;   Jina Huh6 Author Orcid Image
Article Authors Cited by (18) Tweetations (11) Metrics

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  9. Rowan W, O'Connor Y, Lynch L, Heavin C. Comprehension, Perception, and Projection. Journal of Organizational and End User Computing 2021;33(6):1 View
  10. Milios A, Xiong T, McEwan K, McGrath P. Personality, Attitudes, and Behaviors Predicting Perceived Benefit in Online Support Groups for Caregivers: Mixed Methods Study. JMIR Nursing 2022;5(1):e36167 View
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  13. Pepin K, Bologna F, Thalken R, Wilkens M. Endometriosis Online Communities: How Machine Learning Can Help Physicians Understand What Patients Are Discussing Online. Journal of Minimally Invasive Gynecology 2024 View

Books/Policy Documents

  1. Jang H, Lee Y, Carenini G, Ng R, Campbell G, Ho K. Advances in Artificial Intelligence. View
  2. Ab Aziz A, Rateb R, Bimo A. Advances and Trends in Artificial Intelligence. From Theory to Practice. View