Published on 14.04.2025 in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67772, first published October 21, 2024.

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

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

Zhengyuan Su^{1, 2, 3}

; Huadong Jiang⁴

; Ying Yang^{1, 2}

; Xiangqing Hou^{1, 2, 3}

; Li Yang^{1, 2}

Article Authors Cited by Tweetations Metrics

Zhengyuan Su ^{1, 2, 3} , MEd ; Huadong Jiang ⁴ , MSc ; Ying Yang ^{1, 2} , PhD ; Xiangqing Hou ^{1, 2, 3} , PhD ; Yanli Su ⁴ , MSc ; Li Yang ^{1, 2} , PhD

¹ Laboratory of Suicidal Behavior Research, Tianjin University, Tianjin, China

² Institute of Applied Psychology, Tianjin University, Tianjin, China

³ School of Education, Tianjin University, Tianjin, China

⁴ Xi'an Mental Health Centre, Xi'an, China

Corresponding Author:

Li Yang, PhD
Laboratory of Suicidal Behavior Research
Tianjin University
135 Yaguan Road, Jinnan District
Tianjin, 300354
China
Phone: 86 13752183496
Email: yangli@tju.edu.cn