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

Sooyeon Min   1, 2 * , MSc, MD ;   Daun Shin   3 * , MD, PhD ;   Sang Jin Rhee   1 , MD, PhD ;   C Hyung Keun Park   4 , MD, PhD ;   Jeong Hun Yang   1 , MD ;   Yoojin Song   1 , MD ;   Min Ji Kim   2 , MD, PhD ;   Kyungdo Kim   5 , MSc ;   Won Ik Cho   6 , PhD ;   Oh Chul Kwon   7 , MD ;   Yong Min Ahn   1, 2 , MD, PhD ;   Hyunju Lee   1 , MD, PhD

1 Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Republic of Korea

2 Department of Psychiatry, Seoul National University College of Medicine, Seoul, Republic of Korea

3 Department of Psychiatry, Korea University College of Medicine, Seoul, Republic of Korea

4 Department of Psychiatry, Asan Medical Center, Seoul, Republic of Korea

5 Department of Biomedical Engineering, Duke University, Durham, NC, United States

6 Department of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea

7 MDB Incorporated, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Hyunju Lee, MD, PhD
  • Department of Neuropsychiatry
  • Seoul National University Hospital
  • 101 Daehak-ro, Jongno-gu
  • Seoul, 03080
  • Republic of Korea
  • Phone: 82 2-2072-2458
  • Email: wandy04@naver.com