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

Machine Learning (1465) Artificial Intelligence (1371) Depression and Mood Disorders; Suicide Prevention (1363)

Published on in Vol 8, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14500, first published .
Identifying the Medical Lethality of Suicide Attempts Using Network Analysis and Deep Learning: Nationwide Study

Identifying the Medical Lethality of Suicide Attempts Using Network Analysis and Deep Learning: Nationwide Study

Identifying the Medical Lethality of Suicide Attempts Using Network Analysis and Deep Learning: Nationwide Study

Authors of this article:

Bora Kim1 Author Orcid Image ;   Younghoon Kim2 Author Orcid Image ;   C Hyung Keun Park3, 4 Author Orcid Image ;   Sang Jin Rhee3, 4 Author Orcid Image ;   Young Shin Kim1 Author Orcid Image ;   Bennett L Leventhal1 Author Orcid Image ;   Yong Min Ahn3, 4 Author Orcid Image ;   Hyojung Paik2 Author Orcid Image
Article Authors Cited by (3) Tweetations (8) Metrics

Bora Kim   1 * , MD, MAS ;   Younghoon Kim   2 * , PhD ;   C Hyung Keun Park   3, 4 , MD, PhD ;   Sang Jin Rhee   3, 4 , MD ;   Young Shin Kim   1 , MS, MPH, MD, PhD ;   Bennett L Leventhal   1 , MD ;   Yong Min Ahn   3, 4 * , MD, PhD ;   Hyojung Paik   2 * , PhD

1 Department of Psychiatry, University of California, San Francisco, San Francisco, CA, United States

2 Center for Supercomputing Applications, Division of Supercomputing, Korea Institute of Science and Technology Information (KISTI), Daejeon, Republic of Korea

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

4 Department of Psychiatry and Behavioral Science, Seoul National University College of Medicine, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Hyojung Paik, PhD
  • Center for Supercomputing Applications
  • Division of Supercomputing
  • Korea Institute of Science and Technology Information (KISTI)
  • 245 Daehak-ro
  • Yuseong-gu
  • Daejeon, 305-806
  • Republic of Korea
  • Phone: 1 82-42-869-1004
  • Email: hyojungpaik@kisti.re.kr