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

Formative Evaluation of Digital Health Interventions (2410) Anxiety and Stress Disorders (1053) New Methods (944) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1514) Linguistics, Comprehension, and Learning (52) Speech and Phonetics in Verbal Protocols (Think Aloud, Recall, and Explanation Tasks) (93)

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 (4) 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