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

Journals

  1. Iyer R, Meyer D. Detection of Suicide Risk Using Vocal Characteristics: Systematic Review. JMIR Biomedical Engineering 2022;7(2):e42386 View
  2. Iyer R, Nedeljkovic M, Meyer D. Using Vocal Characteristics To Classify Psychological Distress in Adult Helpline Callers: Retrospective Observational Study. JMIR Formative Research 2022;6(12):e42249 View
  3. Alemu Y, Chen H, Duan C, Caulley D, Arriaga R, Sezgin E. Detecting Clinically Relevant Emotional Distress and Functional Impairment in Children and Adolescents: Protocol for an Automated Speech Analysis Algorithm Development Study. JMIR Research Protocols 2023;12:e46970 View
  4. Mapa R, Meyer D, Iyer R, Apputhurai P, Wickramasinghe N. Systematic Review of Empathic Conversational Agent Platform Designs and their Evaluation in the Context of Mental Health. (Preprint). JMIR Mental Health 2024 View