Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/32543, first published .
Artificial Intelligence–Enabled Social Media Analysis for Pharmacovigilance of COVID-19 Vaccinations in the United Kingdom: Observational Study

Artificial Intelligence–Enabled Social Media Analysis for Pharmacovigilance of COVID-19 Vaccinations in the United Kingdom: Observational Study

Artificial Intelligence–Enabled Social Media Analysis for Pharmacovigilance of COVID-19 Vaccinations in the United Kingdom: Observational Study

Journals

  1. Akaishi T, Takahashi T, Sato S, Jin X, Masamune A, Ishii T. Prolonged Diarrhea Following COVID-19 Vaccination: A Case Report and Literature Review. The Tohoku Journal of Experimental Medicine 2022;257(3):251 View
  2. Robinson F, Wilkes S, Schaefer N, Goldstein M, Rice M, Gray J, Meyers S, Valentino L. Patient-centered pharmacovigilance: priority actions from the inherited bleeding disorders community. Therapeutic Advances in Drug Safety 2023;14:204209862211464 View
  3. Malik T, Hanif N, Tahir A, Abbas S, Hanif M, Tariq F, Ansari S, Abbasi Q, Imran M. Crowd Control, Planning, and Prediction Using Sentiment Analysis: An Alert System for City Authorities. Applied Sciences 2023;13(3):1592 View
  4. Carpenter K, Altman R. Using GPT-3 to Build a Lexicon of Drugs of Abuse Synonyms for Social Media Pharmacovigilance. Biomolecules 2023;13(2):387 View