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

Posttraumatic Stress Disorder (PTSD) (116) Anxiety and Stress Disorders (1053) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1514) Natural Language Processing (692) Methods and New Tools in Mental Health Research (454) Digital Health Meta-Research and Bibliographic Studies (37) Clinical Mental Health Informatics (38) Diagnostic Tools in Mental Health (242)

Published on in Vol 8, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33599, first published .
Prevalence and Temporal Trends Analysis of Screening and Diagnostic Instruments in Posttraumatic Stress Disorder: Text Mining Study

Prevalence and Temporal Trends Analysis of Screening and Diagnostic Instruments in Posttraumatic Stress Disorder: Text Mining Study

Prevalence and Temporal Trends Analysis of Screening and Diagnostic Instruments in Posttraumatic Stress Disorder: Text Mining Study

Authors of this article:

Hui Zong1 Author Orcid Image ;   Binyang Hu2 Author Orcid Image ;   Yang Han2 Author Orcid Image ;   Zuofeng Li2 Author Orcid Image ;   Xiaoyan Zhang1 Author Orcid Image
Article Authors Cited by (1) Tweetations (2) Metrics

Journals

  1. Bieganek C, Aliferis C, Ma S, V E S. Prediction of clinical trial enrollment rates. PLOS ONE 2022;17(2):e0263193 View