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

Users' and Patients' Needs for Mental Health Services (382) Natural Language Processing (650) Special Issue on Computing and Mental Health (2018) (33)

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 Payton1 Author Orcid Image ;   Lynette Kvasny Yarger2 Author Orcid Image ;   Anthony Thomas Pinter3 Author Orcid Image
Article Authors Cited by (3) Tweetations (11) 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
  3. Cho S, Bastien L, Petrovic J, Böke B, Heath N. The Role of Mental Health Stigma in University Students’ Satisfaction With Web-Based Stress Management Resources: Intervention Study. JMIR Formative Research 2024;8:e50018 View