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

Journals

  1. Matta J, Singh V, Auten T, Sanjel P, Gaito S. Inferred networks, machine learning, and health data. PLOS ONE 2023;18(1):e0280910 View
  2. Yang D, Kim J, Yoo J, Cha W, Paik H. Identifying the Risk of Sepsis in Patients With Cancer Using Digital Health Care Records: Machine Learning–Based Approach. JMIR Medical Informatics 2022;10(6):e37689 View
  3. Castillo-Avila R, Genis-Mendoza A, Juárez-Rojop I, López-Narváez M, Dionisio-García D, Nolasco-Rosales G, Ramos-Méndez M, Hernández-Díaz Y, Tovilla-Zárate C, González-Castro T, Nicolini H. High Serum Levels of IL-6 Are Associated with Suicide Attempt but Not with High Lethality Suicide Attempts: A Preliminary Case–Control Study. International Journal of Environmental Research and Public Health 2022;19(22):14735 View