Suicidal behaviour prediction models using machine learning techniques: A systematic review

N Nordin, Z Zainol, MHM Noor, LF Chan - Artificial intelligence in medicine, 2022‏ - Elsevier
Background Early detection and prediction of suicidal behaviour are key factors in suicide
control. In conjunction with recent advances in the field of artificial intelligence, there is …

Translating promise into practice: a review of machine learning in suicide research and prevention

OJ Kirtley, K van Mens, M Hoogendoorn… - The Lancet …, 2022‏ - thelancet.com
In ever more pressured health-care systems, technological solutions offering scalability of
care and better resource targeting are appealing. Research on machine learning as a …

[HTML][HTML] Specific anxiety and depression symptoms are risk factors for the onset of suicidal ideation and suicide attempts in youth

JB Grant, PJ Batterham, SM McCallum… - Journal of affective …, 2023‏ - Elsevier
Background Suicidality research has typically focused on affective disorders to identify at-
risk youth. Investigating the predictive role of individual symptoms, particularly anxiety …

Machine learning for suicidal ideation identification: A systematic literature review

WF Heckler, JV de Carvalho, JLV Barbosa - Computers in Human Behavior, 2022‏ - Elsevier
Suicide causes approximately one death every 40 s. Suicidal ideation is the first stage in the
risk scale, being a potential gate for suicide prevention. Machine learning emerged as a …

[HTML][HTML] Machine learning-based prediction for self-harm and suicide attempts in adolescents

R Su, JR John, PI Lin - Psychiatry research, 2023‏ - Elsevier
This study aimed to use machine learning (ML) models to predict the risk of self-harm and
suicide attempts in adolescents. We conducted secondary analysis of cross-sectional data …

Machine learning assessment of early life factors predicting suicide attempt in adolescence or young adulthood

MC Navarro, I Ouellet-Morin, MC Geoffroy… - JAMA network …, 2021‏ - jamanetwork.com
Importance Although longitudinal studies have reported associations between early life
factors (ie, in-utero/perinatal/infancy) and long-term suicidal behavior, they have …

Interpersonal theory of suicide: prospective examination

T Forkmann, H Glaesmer, L Paashaus, D Rath… - BJPsych …, 2020‏ - cambridge.org
BackgroundThe interpersonal theory of suicide (IPTS) is one of the most intensively
researched contemporary theories on the development of suicidal ideation and behaviour …

Conducta suicida en adolescentes a revisión: creando esperanza a través de la acción

E Fonseca-Pedrero, A Pérez-Albéniz… - Papeles del …, 2022‏ - SciELO Espana
La conducta suicida es un problema socio-sanitario de primer orden. El objetivo general de
este trabajo es realizar una revisión narrativa de la conducta suicida en adolescentes …

[HTML][HTML] Predicting the 9-year course of mood and anxiety disorders with automated machine learning: A comparison between auto-sklearn, naïve Bayes classifier …

WA Van Eeden, C Luo, AM van Hemert, IVE Carlier… - Psychiatry …, 2021‏ - Elsevier
Background Predicting the onset and course of mood and anxiety disorders is of clinical
importance but remains difficult. We compared the predictive performances of traditional …

Family conflict and suicidal behaviour in adolescence: The mediating role of the assertive interpersonal schema

D Eslava, C Martínez-Vispo, VJ Villanueva-Blasco… - Sustainability, 2023‏ - mdpi.com
Suicidal behaviour in adolescents is a significant problem worldwide. Family plays an
important role in this issue, with family conflict associated with a greater likelihood of current …