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 Biomarkers and Digital Phenotyping (191) Machine Learning (1465)

Published on in Vol 6, No 12 (2022): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42249, first published .
Using Vocal Characteristics To Classify Psychological Distress in Adult Helpline Callers: Retrospective Observational Study

Using Vocal Characteristics To Classify Psychological Distress in Adult Helpline Callers: Retrospective Observational Study

Using Vocal Characteristics To Classify Psychological Distress in Adult Helpline Callers: Retrospective Observational Study

Authors of this article:

Ravi Iyer1 Author Orcid Image ;   Maja Nedeljkovic1 Author Orcid Image ;   Denny Meyer1 Author Orcid Image
Article Authors Cited by (6) Tweetations (3) Metrics

Journals

  1. Lagera P, Chan S, Yellowlees P. Asynchronous Technologies in Mental Health Care and Education. Current Treatment Options in Psychiatry 2023;10(2):59 View
  2. Sanjeewa R, Iyer R, Apputhurai P, Wickramasinghe N, Meyer D. Empathic Conversational Agent Platform Designs and Their Evaluation in the Context of Mental Health: Systematic Review. JMIR Mental Health 2024;11:e58974 View
  3. Atmakuru A, Shahini A, Chakraborty S, Seoni S, Salvi M, Hafeez-Baig A, Rashid S, Tan R, Barua P, Molinari F, Acharya U. Artificial intelligence-based suicide prevention and prediction: A systematic review (2019–2023). Information Fusion 2025;114:102673 View
  4. de Boer K, Mackelprang J, Nedeljkovic M, Meyer D, Iyer R. Using artificial intelligence to detect risk of family violence: A protocol for a systematic review and meta-analysis. (Preprint). JMIR Research Protocols 2023 View

Books/Policy Documents

  1. Prado L, Hongn A, Pelle P, Bonomini M. Artificial Intelligence for Neuroscience and Emotional Systems. View