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

Depression and Mood Disorders; Suicide Prevention (1283) Machine Learning (1388) Artificial Intelligence (1204) Telehealth and Telemonitoring (1568) Intentional Self-Harm (91) Users' and Patients' Needs for Mental Health Services (381)

Published on in Vol 9, No 8 (2022): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39807, first published .
Using Voice Biomarkers to Classify Suicide Risk in Adult Telehealth Callers: Retrospective Observational Study

Using Voice Biomarkers to Classify Suicide Risk in Adult Telehealth Callers: Retrospective Observational Study

Using Voice Biomarkers to Classify Suicide Risk in Adult Telehealth 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 (4) 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 454565575
  • Email: raviiyer@swin.edu.au