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

Journals

  1. Mackey T, Li J, Purushothaman V, Nali M, Shah N, Bardier C, Cai M, Liang B. Big Data, Natural Language Processing, and Deep Learning to Detect and Characterize Illicit COVID-19 Product Sales: Infoveillance Study on Twitter and Instagram. JMIR Public Health and Surveillance 2020;6(3):e20794 View
  2. Arillotta D, Schifano F, Napoletano F, Zangani C, Gilgar L, Guirguis A, Corkery J, Aguglia E, Vento A. Novel Opioids: Systematic Web Crawling Within the e-Psychonauts’ Scenario. Frontiers in Neuroscience 2020;14 View
  3. Xu Q, Cai M, Mackey T. The illegal wildlife digital market: an analysis of Chinese wildlife marketing and sale on Facebook. Environmental Conservation 2020;47(3):206 View
  4. Hu H, Phan N, Chun S, Geller J, Vo H, Ye X, Jin R, Ding K, Kenne D, Dou D. An insight analysis and detection of drug-abuse risk behavior on Twitter with self-taught deep learning. Computational Social Networks 2019;6(1) View
  5. Graham S, Huffer D, Blackadar J. Towards a Digital Sensorial Archaeology as an Experiment in Distant Viewing of the Trade in Human Remains on Instagram. Heritage 2020;3(2):208 View
  6. Penley B, Chen H, Eckel S, Ozawa S. Characteristics of online pharmacies selling Adderall. Journal of the American Pharmacists Association 2021;61(1):e103 View
  7. Xu Q, Shen Z, Shah N, Cuomo R, Cai M, Brown M, Li J, Mackey T. Characterizing Weibo Social Media Posts From Wuhan, China During the Early Stages of the COVID-19 Pandemic: Qualitative Content Analysis. JMIR Public Health and Surveillance 2020;6(4):e24125 View
  8. Petersen M, Petersen I, Poulsen C, Nørgaard L. #studydrugs–Persuasive posting on Instagram. International Journal of Drug Policy 2021:103100 View
  9. Sampa M, Hossain M, Hoque M, Islam R, Yokota F, Nishikitani M, Ahmed A. Blood Uric Acid Prediction With Machine Learning: Model Development and Performance Comparison. JMIR Medical Informatics 2020;8(10):e18331 View
  10. Vida R, Merczel S, Jáhn E, Fittler A. Developing a framework regarding a complex risk based methodology in the evaluation of hazards associated with medicinal products sourced via the internet. Saudi Pharmaceutical Journal 2020;28(12):1733 View
  11. Manco L, Maffei N, Strolin S, Vichi S, Bottazzi L, Strigari L. Basic of machine learning and deep learning in imaging for medical physicists. Physica Medica 2021;83:194 View
  12. Hertig J, James S, Hummel C, Rubin M. Evaluation of pharmacists’ awareness of illegal online pharmacies and perceived impact on safe access to medicines. Medicine Access @ Point of Care 2021;5:239920262110056 View
  13. Cuomo R, Purushothaman V, Li J, Bardier C, Nali M, Shah N, Obradovich N, Yang J, Mackey T. Characterizing Self-Reported Tobacco, Vaping, and Marijuana-Related Tweets Geolocated for California College Campuses. Frontiers in Public Health 2021;9 View
  14. Piccialli F, di Cola V, Giampaolo F, Cuomo S. The Role of Artificial Intelligence in Fighting the COVID-19 Pandemic. Information Systems Frontiers 2021 View
  15. Purushothaman V, Li J, Mackey T. Detecting Suicide and Self-Harm Discussions Among Opioid Substance Users on Instagram Using Machine Learning. Frontiers in Psychiatry 2021;12 View
  16. Shah N, Li J, Mackey T. An unsupervised machine learning approach for the detection and characterization of illicit drug-dealing comments and interactions on Instagram. Substance Abuse 2021:1 View
  17. Ricard B, Hassanpour S. Deep Learning for Identification of Alcohol on Social Media: Exploratory Analysis of Alcohol-Related Outcomes from Reddit and Twitter (Preprint). Journal of Medical Internet Research 2021 View