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

Public (e)Health, Digital Epidemiology and Public Health Informatics (1008) Public Health Informatics (135) Infodemiology and Infoveillance (1558) Pharmacovigilance (171) Machine Learning (2076) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (215) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1911)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43630, first published .
Automating Detection of Drug-Related Harms on Social Media: Machine Learning Framework

Automating Detection of Drug-Related Harms on Social Media: Machine Learning Framework

Automating Detection of Drug-Related Harms on Social Media: Machine Learning Framework

Authors of this article:

Andrew Fisher1 Author Orcid Image ;   Matthew Maclaren Young2, 3, 4 Author Orcid Image ;   Doris Payer2 Author Orcid Image ;   Karen Pacheco5 Author Orcid Image ;   Chad Dubeau2 Author Orcid Image ;   Vijay Mago6 Author Orcid Image
Article Authors Cited by (8) Tweetations (6) Metrics

Journals

  1. Castillo-Toledo C, Fraile-Martínez O, Donat-Vargas C, Lara-Abelenda F, Ortega M, Garcia-Montero C, Mora F, Alvarez-Mon M, Quintero J, Alvarez-Mon M. Insights from the Twittersphere: a cross-sectional study of public perceptions, usage patterns, and geographical differences of tweets discussing cocaine. Frontiers in Psychiatry 2024;15 View
  2. Amjad M, Graham S, McCormick K, Claborn K. AI and Big Data approaches to addressing the opioid crisis: a scoping review protocol. BMJ Open 2024;14(8):e084728 View
  3. Matoshi V, De Vuono M, Gaspari R, Kröll M, Jantscher M, Nicolardi S, Mazzola G, Rauch M, Sabol V, Salhofer E, Mariani R. One size fits all: Enhanced zero-shot text classification for patient listening on social media. Frontiers in Artificial Intelligence 2025;7 View
  4. Neveditsin N, Lingras P, Mago V, Xu J. Clinical insights: A comprehensive review of language models in medicine. PLOS Digital Health 2025;4(5):e0000800 View
  5. Dong F, Guo W, Liu J, Patterson T, Hong H. Pharmacovigilance in the digital age: gaining insight from social media data. Experimental Biology and Medicine 2025;250 View
  6. Griffiths P, Parry C, Ambekar A, Vicknasingam B, Basutu A, Myers B, Bo A, Dietze P, Douglas K, Ezard N, Fiore M, Hynes M, Jones C, Kent P, Mounteney J, Niaz K, Palczak K, Pascale A, Peacock A, Rychert M, Sturua L, Zhang Y. The Need to Revitalise Drug Use Monitoring to Keep Pace With a More Dynamic, Digitally Enabled and Globally Connected Drug Market. Drug and Alcohol Review 2026;45(1) View

Books/Policy Documents

  1. Gamaleldin M, Abdelhalim S, Abraham I. Pharmacovigilance - Facts, Challenges, Limitations and Opportunities. View
  2. Fernández-López L, Martínez Laorden E, Martín Sánchez F, Almela Rojo P, Navarro-Zaragoza J. Substance Abuse - New Compounds and New Problems. View