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

New Methods (911) Depression and Mood Disorders; Suicide Prevention (1290) Machine Learning (1401) Decision Support for Health Professionals (1147) Artificial Intelligence (1216) Speech and Phonetics in Verbal Protocols (Think Aloud, Recall, and Explanation Tasks) (91)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45456, first published .
Acoustic Analysis of Speech for Screening for Suicide Risk: Machine Learning Classifiers for Between- and Within-Person Evaluation of Suicidality

Acoustic Analysis of Speech for Screening for Suicide Risk: Machine Learning Classifiers for Between- and Within-Person Evaluation of Suicidality

Acoustic Analysis of Speech for Screening for Suicide Risk: Machine Learning Classifiers for Between- and Within-Person Evaluation of Suicidality

Authors of this article:

Sooyeon Min1, 2 Author Orcid Image ;   Daun Shin3 Author Orcid Image ;   Sang Jin Rhee1 Author Orcid Image ;   C Hyung Keun Park4 Author Orcid Image ;   Jeong Hun Yang1 Author Orcid Image ;   Yoojin Song1 Author Orcid Image ;   Min Ji Kim2 Author Orcid Image ;   Kyungdo Kim5 Author Orcid Image ;   Won Ik Cho6 Author Orcid Image ;   Oh Chul Kwon7 Author Orcid Image ;   Yong Min Ahn1, 2 Author Orcid Image ;   Hyunju Lee1 Author Orcid Image
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