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

New Methods (649) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1228) Machine Learning (960) Substance Abuse (267)

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

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/13803, first published .
A Machine Learning Approach for the Detection and Characterization of Illicit Drug Dealers on Instagram: Model Evaluation Study

A Machine Learning Approach for the Detection and Characterization of Illicit Drug Dealers on Instagram: Model Evaluation Study

A Machine Learning Approach for the Detection and Characterization of Illicit Drug Dealers on Instagram: Model Evaluation Study

Authors of this article:

Jiawei Li 1, 2 Author Orcid Image ;   Qing Xu 1, 2 Author Orcid Image ;   Neal Shah 1 Author Orcid Image ;   Tim K Mackey 1, 2, 3, 4 Author Orcid Image
Article Authors Cited by (19) Tweetations (53) Metrics
Jiawei Li 1, 2 , MS ;   Qing Xu 1, 2 , MAS ;   Neal Shah 1 , BS ;   Tim K Mackey 1, 2, 3, 4 , MAS, PhD

1 Global Health Policy Institute , La Jolla , CA , US

2 Department of Healthcare Research and Policy , University of California - San Diego, Extension , La Jolla , CA , US

3 Department of Anesthesiology , University of California - San Diego, School of Medicine , La Jolla , CA , US

4 Division of Infectious Disease and Global Public Health , University of California - San Diego, School of Medicine , La Jolla , CA , US

Corresponding Author:

  • Tim K Mackey, MAS, PhD
  • Department of Anesthesiology
  • University of California - San Diego, School of Medicine
  • 8950 Villa La Jolla Drive
  • A124
  • La Jolla, CA
  • US
  • Phone: 1 9514914161
  • Email: tmackey@ucsd.edu