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

Adverse Drug Events Detection, Pharmacovigilance and Surveillance (213) Natural Language Processing (893) Pharmacovigilance (171) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1897) Infodemiology and Infoveillance (1543) Machine Learning (2032) Substance Abuse (522)

Published on in Vol 10, No 9 (2022): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38140, first published .
An Assessment of Mentions of Adverse Drug Events on Social Media With Natural Language Processing: Model Development and Analysis

An Assessment of Mentions of Adverse Drug Events on Social Media With Natural Language Processing: Model Development and Analysis

An Assessment of Mentions of Adverse Drug Events on Social Media With Natural Language Processing: Model Development and Analysis

Authors of this article:

Deahan Yu1 Author Orcid Image ;   V G Vinod Vydiswaran1, 2 Author Orcid Image
Article Authors Cited by (12) Tweetations (6) Metrics

Deahan Yu   1 , MHI ;   V G Vinod Vydiswaran   1, 2 , PhD

1 School of Information, University of Michigan, Ann Arbor, MI, United States

2 Department of Learning Health Sciences, Medical School, University of Michigan, Ann Arbor, MI, United States

Corresponding Author:

  • V G Vinod Vydiswaran, PhD
  • Department of Learning Health Sciences
  • Medical School
  • University of Michigan
  • 1161F NIB
  • 300 N Ingalls St
  • Ann Arbor, MI 48109
  • United States
  • Phone: 1 734-647-1207
  • Fax: 1 734-647-3914
  • Email: vgvinodv@umich.edu