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

Artificial Intelligence (2465) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2367) New Methods (1202) Depression and Mood Disorders; Suicide Prevention (1800) Machine Learning (2313) Applications of AI (387) Voice Phenotyping and Vocal Biomarkers (23)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67772, first published .
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Acoustic Features for Identifying Suicide Risk in Crisis Hotline Callers: Machine Learning Approach

Acoustic Features for Identifying Suicide Risk in Crisis Hotline Callers: Machine Learning Approach

Authors of this article:

Zhengyuan Su1, 2, 3 Author Orcid Image ;   Huadong Jiang4 Author Orcid Image ;   Ying Yang1, 2 Author Orcid Image ;   Xiangqing Hou1, 2, 3 Author Orcid Image ;   Yanli Su4 Author Orcid Image ;   Li Yang1, 2 Author Orcid Image
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