Published on in Vol 22, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21383, first published .
Low Testosterone on Social Media: Application of Natural Language Processing to Understand Patients’ Perceptions of Hypogonadism and Its Treatment

Low Testosterone on Social Media: Application of Natural Language Processing to Understand Patients’ Perceptions of Hypogonadism and Its Treatment

Low Testosterone on Social Media: Application of Natural Language Processing to Understand Patients’ Perceptions of Hypogonadism and Its Treatment

Vadim Osadchiy   1, 2 , MD ;   Tommy Jiang   1, 2 , BS ;   Jesse Nelson Mills   1 , MD ;   Sriram Venkata Eleswarapu   1, 2 , MD, PhD

1 Division of Andrology, Department of Urology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States

2 Consortium for Health Activity on Social Media, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States

Corresponding Author:

  • Sriram Venkata Eleswarapu, MD, PhD
  • Division of Andrology
  • Department of Urology
  • David Geffen School of Medicine, University of California, Los Angeles
  • 10945 Le Conte Avenue
  • Ueberroth #3361
  • Los Angeles, CA
  • United States
  • Phone: 1 310 794 3058
  • Fax: 1 310 206 2369
  • Email: SEleswarapu@mednet.ucla.edu