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

Research Letter (37) Natural Language Processing (693) Ontologies, Classifications, and Coding (239) Infodemiology and Infoveillance (1350) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1643) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1042)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40569, first published .
Pregex: Rule-Based Detection and Extraction of Twitter Data in Pregnancy

Pregex: Rule-Based Detection and Extraction of Twitter Data in Pregnancy

Pregex: Rule-Based Detection and Extraction of Twitter Data in Pregnancy

Authors of this article:

Ari Z Klein1 Author Orcid Image ;   Shriya Kunatharaju1 Author Orcid Image ;   Karen O'Connor1 Author Orcid Image ;   Graciela Gonzalez-Hernandez2 Author Orcid Image
Article Authors Cited by (5) Tweetations (10) Metrics

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

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

2 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, Suite G549F
  • 700 North San Vicente Boulevard
  • West Hollywood, CA, 90069
  • United States
  • Phone: 1 310-423-3521
  • Email: Graciela.GonzalezHernandez@csmc.edu