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

Formative Evaluation of Digital Health Interventions (2823) Anxiety and Stress Disorders (1183) New Methods (1030) Digital Biomarkers and Digital Phenotyping (229) Machine Learning (1738)

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 (8) 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: Protocol for a Systematic Review and Meta-Analysis. JMIR Research Protocols 2024;13:e54966 View
  5. Aguirre Vergara F, Pinker I, Fischer A, Seuring T, Tichomirowa M, de Beaufort C, Kamp S, Fagherazzi G, Aguayo G. Readiness of adults with type 1 diabetes and diabetes caregivers for diabetes distress monitoring using a voice-based digital health solution: insights from the PsyVoice mixed methods study. BMJ Open 2025;15(1):e088424 View
  6. Sanjeewa R, Iyer R, Apputhurai P, Wickramasinghe N, Meyer D. Machine Learning Approach to Identifying Empathy Using the Vocals of Mental Health Helpline Counselors: Algorithm Development and Validation. JMIR Formative Research 2025;9:e67835 View

Books/Policy Documents

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

Conference Proceedings

  1. Cabral R, Luo S, Poon J, Han S. Proceedings of the 33rd ACM International Conference on Information and Knowledge Management. 3M-Health: Multimodal Multi-Teacher Knowledge Distillation for Mental Health Detection View