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

Users' and Patients' Needs for Mental Health Services (293) Natural Language Processing (490) Special Issue on Computing and Mental Health (2018) (32)

Published on in Vol 5 , No 4 (2018) :Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10032, first published .
Text Mining Mental Health Reports for Issues Impacting Today’s College Students: Qualitative Study

Text Mining Mental Health Reports for Issues Impacting Today’s College Students: Qualitative Study

Text Mining Mental Health Reports for Issues Impacting Today’s College Students: Qualitative Study

Authors of this article:

Fay Cobb Payton 1 Author Orcid Image ;   Lynette Kvasny Yarger 2 Author Orcid Image ;   Anthony Thomas Pinter 3 Author Orcid Image
Article Authors Cited by (2) Tweetations (20) Metrics

Journals

  1. Davidson S, Fletcher S, Wadley G, Reavley N, Gunn J, Wade D. A Mobile Phone App to Improve the Mental Health of Taxi Drivers: Single-Arm Feasibility Trial. JMIR mHealth and uHealth 2020;8(1):e13133 View
  2. Ghosh C, McVicar D, Davidson G, Shannon C. Measuring diagnostic heterogeneity using text-mining of the lived experiences of patients. BMC Psychiatry 2021;21(1) View