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

Formative Evaluation of Digital Health Interventions (3229) Anxiety and Stress Disorders (1330) New Methods (1134) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2111) Linguistics, Comprehension, and Learning (56) Speech and Phonetics in Verbal Protocols (Think Aloud, Recall, and Explanation Tasks) (95)

Published on in Vol 6, No 10 (2022): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39998, first published .
Screening for Generalized Anxiety Disorder From Acoustic and Linguistic Features of Impromptu Speech: Prediction Model Evaluation Study

Screening for Generalized Anxiety Disorder From Acoustic and Linguistic Features of Impromptu Speech: Prediction Model Evaluation Study

Screening for Generalized Anxiety Disorder From Acoustic and Linguistic Features of Impromptu Speech: Prediction Model Evaluation Study

Authors of this article:

Bazen Gashaw Teferra1 Author Orcid Image ;   Sophie Borwein2 Author Orcid Image ;   Danielle D DeSouza3, 4 Author Orcid Image ;   Jonathan Rose1, 5 Author Orcid Image
Article Authors Cited by (9) Tweetations (3) Metrics

Journals

  1. Teferra B, Rose J. Predicting Generalized Anxiety Disorder From Impromptu Speech Transcripts Using Context-Aware Transformer-Based Neural Networks: Model Evaluation Study. JMIR Mental Health 2023;10:e44325 View
  2. Olah J, Diederen K, Gibbs-Dean T, Kempton M, Dobson R, Spencer T, Cummins N. Online speech assessment of the psychotic spectrum: Exploring the relationship between overlapping acoustic markers of schizotypy, depression and anxiety. Schizophrenia Research 2023;259:11 View
  3. Khoo L, Lim M, Chong C, McNaney R. Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches. Sensors 2024;24(2):348 View
  4. 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
  5. Pietrowicz M, Cunningham K, Thompson D, Gruzmark F, Reinders A, Ford A, Pulido S, Calhoun C, Hutchinson M, Medina V, Finkenbine R, Donohue S. Automated acoustic voice screening techniques for comorbid depression and anxiety disorders. JASA Express Letters 2025;5(2) View
  6. Wang Q, Xu F, Wang X, Wu S, Ren L, Liu X. How Anxiety State Influences Speech Parameters: A Network Analysis Study from a Real Stressed Scenario. Brain Sciences 2025;15(3):262 View
  7. Rakhi Nagpal , Saravjeet Singh , Aditi Moudgil . Exploring Diverse Features: A Thorough Survey for Anxiety Disorders. EAI Endorsed Transactions on Pervasive Health and Technology 2025;11 View
  8. 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. Nagpal R, Singh S, Moudgil A. 2025 12th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO). Anxiety Classification Using CNN+LSTM Based Approach View