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

Anxiety and Stress Disorders (1330) Machine Learning (2076) Diagnostic Tools in Mental Health (326) New Methods (1134) Methods and New Tools in Mental Health Research (558) Artificial Intelligence (2129) Natural Language Processing (917) Social Anxiety Disorder (SAD) (61) Speech and Phonetics in Verbal Protocols (Think Aloud, Recall, and Explanation Tasks) (95)

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 (15) Tweetations (3) 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
  8. Ang B, Gollapalli S, Du M, Ng S. Unraveling Online Mental Health Through the Lens of Early Maladaptive Schemas: AI-Enabled Content Analysis of Online Mental Health Communities. Journal of Medical Internet Research 2025;27:e59524 View
  9. Nagpal R, Singh S, Moudgil A. A Deep Learning-Based Technique for Detection of Generalized Anxiety Disorder using CNN and ResNet-like Approach. Arabian Journal for Science and Engineering 2025;50(23):19117 View
  10. Lu J, Liang W, Cui L, Mou S, Pei X, Shen X, Shen Z, Shen P. Identifying Neuro-Inflammatory Biomarkers of Generalized Anxiety Disorder from Lymphocyte Subsets Based on Machine Learning Approaches. Neuropsychobiology 2025;84(2):74 View
  11. Jin Y, Liu J, Li P, Wang B, Yan Y, Zhang H, Ni C, Wang J, Li Y, Bu Y, Wang Y. The Applications of Large Language Models in Mental Health: Scoping Review. Journal of Medical Internet Research 2025;27:e69284 View
  12. Eyrikaya E, Dağ İ, Stoyanov D. From the p‐Factor to Cognitive Content: Detection and Discrimination of Psychopathologies Based on Explainable Artificial Intelligence. Depression and Anxiety 2025;2025(1) View
  13. Teferra B, Perivolaris A, Hsiang W, Sidharta C, Rueda A, Parkington K, Wu Y, Soni A, Samavi R, Jetly R, Zhang Y, Cao B, Rambhatla S, Krishnan S, Bhat V, Lange M. Leveraging large language models for automated depression screening. PLOS Digital Health 2025;4(7):e0000943 View
  14. Steinbrenner T, Lalk C, Targan K, Schaffrath J, Eberhardt S, Haberkamp A, Lutz W, Rubel J. Explaining anxiety prediction in psychotherapy transcripts: The role of patient linguistic features and theoretical constructs. Behaviour Research and Therapy 2025;194:104857 View

Conference Proceedings

  1. Hidayat R, Lhaksmana K, Nurhayati I. 2025 International Conference on Data Science and Its Applications (ICoDSA). Language Anxiety Detection in English Texts Using BERT and SVM View