Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50221, first published .
Detection of Suicidal Ideation in Clinical Interviews for Depression Using Natural Language Processing and Machine Learning: Cross-Sectional Study

Detection of Suicidal Ideation in Clinical Interviews for Depression Using Natural Language Processing and Machine Learning: Cross-Sectional Study

Detection of Suicidal Ideation in Clinical Interviews for Depression Using Natural Language Processing and Machine Learning: Cross-Sectional Study

Tim M H Li   1 , PhD ;   Jie Chen   1 , MD, PhD ;   Framenia O C Law   1 , BA ;   Chun-Tung Li   1 , PhD ;   Ngan Yin Chan   1 , PhD ;   Joey W Y Chan   1 , MBChB ;   Steven W H Chau   1 , MBBS, MSc ;   Yaping Liu   1 , MD, PhD ;   Shirley Xin Li   2, 3 , PhD, DClinPsy ;   Jihui Zhang   1, 4 , MD, PhD ;   Kwong-Sak Leung   5, 6 , PhD ;   Yun-Kwok Wing   1 , MBChB

1 Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, The Chinese University of Hong Kong, Hong Kong, China (Hong Kong)

2 Department of Psychology, The University of Hong Kong, Hong Kong, China (Hong Kong)

3 The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong, China (Hong Kong)

4 Guangdong Mental Health Center, Guangdong General Hospital and Guangdong Academy of Medical Sciences, Guangdong, China

5 Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, China (Hong Kong)

6 Department of Applied Data Science, Hong Kong Shue Yan University, Hong Kong, China (Hong Kong)

Corresponding Author:

  • Tim M H Li, PhD
  • Li Chiu Kong Family Sleep Assessment Unit
  • Department of Psychiatry
  • The Chinese University of Hong Kong
  • 7/F Shatin Hospital, 33 A Kung Kok Street, Ma On Shan, NT
  • Hong Kong
  • China (Hong Kong)
  • Phone: 852 39197449
  • Email: manholi@cuhk.edu.hk