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

Anxiety and Stress Disorders (1053) Machine Learning (1465) Diagnostic Tools in Mental Health (242) New Methods (944) Methods and New Tools in Mental Health Research (454) Artificial Intelligence (1371) Natural Language Processing (692) Social Anxiety Disorder (SAD) (51) Speech and Phonetics in Verbal Protocols (Think Aloud, Recall, and Explanation Tasks) (93)

Published on in Vol 10 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44325, first published .
Predicting Generalized Anxiety Disorder From Impromptu Speech Transcripts Using Context-Aware Transformer-Based Neural Networks: Model Evaluation Study

Predicting Generalized Anxiety Disorder From Impromptu Speech Transcripts Using Context-Aware Transformer-Based Neural Networks: Model Evaluation Study

Predicting Generalized Anxiety Disorder From Impromptu Speech Transcripts Using Context-Aware Transformer-Based Neural Networks: Model Evaluation Study

Authors of this article:

Bazen Gashaw Teferra1 Author Orcid Image ;   Jonathan Rose1, 2 Author Orcid Image
Article Authors Cited by (7) Tweetations (4) Metrics

Journals

  1. Chu A, Lam B, Tsang J, Tiwari A, Yuk H, Chan J, So M. An automatic speech analytics program for digital assessment of stress burden and psychosocial health. npj Mental Health Research 2023;2(1) View
  2. Sahu N, Yadav M, Lone H. Unveiling Social Anxiety: Analyzing Acoustic and Linguistic Traits in Impromptu Speech within a Controlled Study. ACM Journal on Computing and Sustainable Societies 2024;2(2):1 View
  3. Cong S, Wang H, Zhou Y, Wang Z, Yao X, Yang C. Comprehensive review of Transformer‐based models in neuroscience, neurology, and psychiatry. Brain‐X 2024;2(2) View
  4. Li W, Tang L, Montayre J, Harris C, West S, Antoniou M. Investigating Health and Well-Being Challenges Faced by an Aging Workforce in the Construction and Nursing Industries: Computational Linguistic Analysis of Twitter Data. Journal of Medical Internet Research 2024;26:e49450 View
  5. Sharma C, Chariar V. Diagnosis of mental disorders using machine learning: Literature review and bibliometric mapping from 2012 to 2023. Heliyon 2024;10(12):e32548 View
  6. Riad R, Denais M, de Gennes M, Lesage A, Oustric V, Cao X, Mouchabac S, Bourla A. Automated Speech Analysis for Risk Detection of Depression, Anxiety, Insomnia, and Fatigue: Algorithm Development and Validation Study. Journal of Medical Internet Research 2024;26:e58572 View
  7. Teferra B, Rueda A, Pang H, Valenzano R, Samavi R, Krishnan S, Bhat V. Screening for Depression Using Natural Language Processing: Literature Review. Interactive Journal of Medical Research 2024;13:e55067 View