Accessibility settings

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/92646, first published .
Tired student studying late at a desk with books and coffee.

A Smartphone-Based Acoustic Machine Learning Pipeline for Detecting Suicidal Ideation: Case-Control Model Development and Validation Study

A Smartphone-Based Acoustic Machine Learning Pipeline for Detecting Suicidal Ideation: Case-Control Model Development and Validation Study

Min Lyu   1, 2 * , PhD ;   Lixin Tan   2 * , MEd ;   Jun Xiao   3 * , PhD ;   Heqing Huang   1, 4 * , PhD ;   Fangjian Liu   2 , MAP ;   Jiahui Qi   5 , MEd ;   Tian Huang   2 , MAP ;   Jinyu Lei   1 , MS ;   Zhihui Zhao   6 , MEng ;   Tianxiang Jiang   2 , MEd ;   Zhu Liu   2 , MAP ;   Xueqian Wang   1 , MAP ;   Jiang Zhong   6 , PhD ;   Zhengzhi Feng   1, 4, 7 , PhD

1 Department of Medical Psychology, Army Medical University, Chongqing, China

2 Mental Health Education and Counseling Center, Chongqing University, Chongqing, China

3 Department of Cardiovascular Medicine, Chongqing Emergency Medical Center/The Fourth People's Hospital of Chongqing, Chongqing, China

4 Department of Medical Psychology, First Affiliated Hospital of Army Medical University, Chongqing, China

5 Faculty of Health and Wellness, City University of Macau, Macau, China

6 College of Computer Science, Chongqing University, Chongqing, China

7 College of Medicine, Chongqing University, Chongqing, China

*these authors contributed equally

Corresponding Author:

  • Zhengzhi Feng, PhD
  • Department of Medical Psychology
  • Army Medical University
  • No. 30 Gaotanyan Main Street, Shapingba District
  • Chongqing 400038
  • China
  • Phone: +86-16623460852
  • Email: fzz@tmmu.edu.cn