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

Infodemiology and Infoveillance (1274) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1570) Substance Abuse (382) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1013) Machine Learning (1385)

Published on in Vol 20, No 4 (2018): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10029, first published .
Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of Controlled Substances via Twitter: Using Machine Learning and Web Forensics to Combat Digital Opioid Access

Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of Controlled Substances via Twitter: Using Machine Learning and Web Forensics to Combat Digital Opioid Access

Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of Controlled Substances via Twitter: Using Machine Learning and Web Forensics to Combat Digital Opioid Access

Authors of this article:

Tim Mackey1 Author Orcid Image ;   Janani Kalyanam2 Author Orcid Image ;   Josh Klugman3 Author Orcid Image ;   Ella Kuzmenko3 Author Orcid Image ;   Rashmi Gupta4 Author Orcid Image
Article Authors Cited by (61) Tweetations (30) Metrics

Tim Mackey   1 * , MAS, PhD ;   Janani Kalyanam   2 * , MA, PhD ;   Josh Klugman   3 , BS ;   Ella Kuzmenko   3 , BA ;   Rashmi Gupta   4 , BE, MBA

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

2 Department of Electrical and Computer Engineering, Jacobs School of Engineering, University of California San Diego, La Jolla, CA, United States

3 IBM Global Business Services, Washington, DC, United States

4 Centers for Disease Control and Prevention, Division of Global Health Protection, Atlanta, GA, United States

*these authors contributed equally

Corresponding Author:

  • Tim Mackey, MAS, PhD
  • Division of Infectious Disease and Global Public Health
  • Department of Anesthesiology, School of Medicine
  • University of California San Diego
  • 8950 Villa La Jolla Drive, A124
  • La Jolla, CA, 92037
  • United States
  • Phone: 1 9514914161
  • Email: tmackey@ucsd.edu