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

New Methods (901) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1552) Infodemiology and Infoveillance (1269) Smoking Cessation (514) Mass Media/Social Media Communication and Campaigns (446) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1010) Imaging Informatics (181) Water, Oceans, and Hydro Sciences (35)

Published on in Vol 20, No 11 (2018): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10513, first published .
Automated Identification of Hookahs (Waterpipes) on Instagram: An Application in Feature Extraction Using Convolutional Neural Network and Support Vector Machine Classification

Automated Identification of Hookahs (Waterpipes) on Instagram: An Application in Feature Extraction Using Convolutional Neural Network and Support Vector Machine Classification

Automated Identification of Hookahs (Waterpipes) on Instagram: An Application in Feature Extraction Using Convolutional Neural Network and Support Vector Machine Classification

Authors of this article:

Youshan Zhang1 Author Orcid Image ;   Jon-Patrick Allem2 Author Orcid Image ;   Jennifer Beth Unger2 Author Orcid Image ;   Tess Boley Cruz2 Author Orcid Image
Article Authors Cited by (20) Tweetations (12) Metrics

Youshan Zhang   1 , MS ;   Jon-Patrick Allem   2 , MA, PhD ;   Jennifer Beth Unger   2 , PhD ;   Tess Boley Cruz   2 , PhD

1 Department of Computer Science, Lehigh University, Bethlehem, PA, United States

2 Keck School of Medicine of USC, Los Angeles, CA, United States

Corresponding Author:

  • Jon-Patrick Allem, MA, PhD
  • Keck School of Medicine of USC
  • 2001 N. Soto Street, 3rd Floor Mail
  • Los Angeles, CA, 90032
  • United States
  • Phone: 1 8586030812
  • Email: allem@usc.edu