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

New Methods (909) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1570) Machine Learning (1385) Substance Abuse (382)

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 Li1, 2 Author Orcid Image ;   Qing Xu1, 2 Author Orcid Image ;   Neal Shah2 Author Orcid Image ;   Tim K Mackey1, 2, 3, 4 Author Orcid Image
Article Authors Cited by (47) Tweetations (49) Metrics

Jiawei Li   1, 2 , MS ;   Qing Xu   1, 2 , MAS ;   Neal Shah   2 , BS ;   Tim K Mackey   1, 2, 3, 4 , MAS, PhD

1 Department of Healthcare Research and Policy, University of California - San Diego, Extension, La Jolla, CA, United States

2 Global Health Policy Institute, La Jolla, CA, United States

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

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

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, 92037
  • United States
  • Phone: 1 9514914161
  • Email: tmackey@ucsd.edu