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

Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1570) Mass Media/Social Media Communication and Campaigns (448)

Published on in Vol 22, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18401, first published .
Characteristics of Twitter Use by State Medicaid Programs in the United States: Machine Learning Approach

Characteristics of Twitter Use by State Medicaid Programs in the United States: Machine Learning Approach

Characteristics of Twitter Use by State Medicaid Programs in the United States: Machine Learning Approach

Authors of this article:

Jane M Zhu1 Author Orcid Image ;   Abeed Sarker2 Author Orcid Image ;   Sarah Gollust3 Author Orcid Image ;   Raina Merchant4 Author Orcid Image ;   David Grande5 Author Orcid Image
Article Authors Cited by (3) Tweetations (14) Metrics

Jane M Zhu   1 , MD, MPP, MSHP ;   Abeed Sarker   2 , PhD ;   Sarah Gollust   3 , PhD ;   Raina Merchant   4 , MD, MSc ;   David Grande   5 , MD, MPA

1 Division of General Internal Medicine, Oregon Health and Science University, Portland, OR, United States

2 Department of Biomedical Informatics, Emory University, Atlanta, GA, United States

3 Division of Health Policy and Management, University of Minnesota, Minneapolis, MN, United States

4 Center for Digital Health, University of Pennsylvania, Philadelphia, PA, United States

5 Division of General Internal Medicine, University of Pennsylvania, Philadelphia, PA, United States

Corresponding Author:

  • Jane M Zhu, MD, MPP, MSHP
  • Division of General Internal Medicine
  • Oregon Health and Science University
  • 3181 SW Sam Jackson Park Road
  • Portland, OR, 97239
  • United States
  • Phone: 1 5034945040
  • Email: zhujan@ohsu.edu