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

Special Issue (2017) "Mining Online Health Reports" (Guest Editor: Collier, Cox, Limsopatham, Lampos, Culotta, Conway) (5) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1568) Infodemiology and Infoveillance (1273) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1012)

Published on in Vol 19, No 10 (2017): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/8164, first published .
Discovering Cohorts of Pregnant Women From Social Media for Safety Surveillance and Analysis

Discovering Cohorts of Pregnant Women From Social Media for Safety Surveillance and Analysis

Discovering Cohorts of Pregnant Women From Social Media for Safety Surveillance and Analysis

Authors of this article:

Abeed Sarker1 Author Orcid Image ;   Pramod Chandrashekar2 Author Orcid Image ;   Arjun Magge2 Author Orcid Image ;   Haitao Cai1 Author Orcid Image ;   Ari Klein1 Author Orcid Image ;   Graciela Gonzalez1 Author Orcid Image
Article Authors Cited by (34) Tweetations (39) Metrics

Abeed Sarker   1 , PhD ;   Pramod Chandrashekar   2 , MS ;   Arjun Magge   2 , MS ;   Haitao Cai   1 , MA, MS ;   Ari Klein   1 , PhD ;   Graciela Gonzalez   1 , PhD

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

2 Department of Biomedical Informatics, Arizona State University, Scottsdale, AZ, United States

Corresponding Author:

  • Abeed Sarker, PhD
  • Department of Biostatistics, Epidemiology and Informatics
  • Perelman School of Medicine
  • University of Pennsylvania
  • Level 4
  • 423 Guardian Drive
  • Philadelphia, PA, 19104
  • United States
  • Phone: 1 6024746203
  • Email: abeed@pennmedicine.upenn.edu