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

Formative Evaluation of Digital Health Interventions (2491) Anxiety and Stress Disorders (1081) New Methods (963) Digital Biomarkers and Digital Phenotyping (198) Machine Learning (1501)

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

Ravi Iyer   1 , BSc, MSc ;   Maja Nedeljkovic   1 , PhD ;   Denny Meyer   1 , PhD

1 Centre for Mental Health, Swinburne University of Technology, Hawthorn, Australia

Corresponding Author:

  • Ravi Iyer, BSc, MSc
  • Centre for Mental Health
  • Swinburne University of Technology
  • 34 Wakefield Street
  • Hawthorn, 3122
  • Australia
  • Phone: 61 456 565 575
  • Email: raviiyer@swin.edu.au