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

Research Letter (37) Natural Language Processing (693) Advanced Data Analytics in eHealth (133) Artificial Intelligence (1371)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46484, first published .
Automatically Identifying Self-Reports of COVID-19 Diagnosis on Twitter: An Annotated Data Set, Deep Neural Network Classifiers, and a Large-Scale Cohort

Automatically Identifying Self-Reports of COVID-19 Diagnosis on Twitter: An Annotated Data Set, Deep Neural Network Classifiers, and a Large-Scale Cohort

Automatically Identifying Self-Reports of COVID-19 Diagnosis on Twitter: An Annotated Data Set, Deep Neural Network Classifiers, and a Large-Scale Cohort

Authors of this article:

Ari Z Klein1 Author Orcid Image ;   Shriya Kunatharaju2 Author Orcid Image ;   Karen O'Connor1 Author Orcid Image ;   Graciela Gonzalez-Hernandez3 Author Orcid Image
Article Authors Cited by (3) Tweetations (4) Metrics

Ari Z Klein   1 , PhD ;   Shriya Kunatharaju   2 , MS ;   Karen O'Connor   1 , MS ;   Graciela Gonzalez-Hernandez   3 , PhD

1 Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States

2 Autism Spectrum Program of Excellence, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States

3 Department of Computational Biomedicine, Cedars-Sinai Medical Center, West Hollywood, CA, United States

Corresponding Author:

  • Graciela Gonzalez-Hernandez, PhD
  • Department of Computational Biomedicine
  • Cedars-Sinai Medical Center
  • Pacific Design Center, Ste G549F
  • 700 N San Vicente Blvd
  • West Hollywood, CA, 90069
  • United States
  • Phone: 1 310-423-3521
  • Email: Graciela.GonzalezHernandez@csmc.edu