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 …

Suicide among Ugandan university students: evidence from media reports for 2010–2020

MM Kaggwa, M Muwanguzi, E Nduhuura… - BJPsych …, 2021 - cambridge.org
University students are in transition to adulthood and face multiple challenges that may lead
to suicide. They are reported to have a higher risk of suicide by the World Health …

[HTML][HTML] Prediction of mental health problem using annual student health survey: machine learning approach

A Baba, K Bunji - JMIR Mental Health, 2023 - mental.jmir.org
Background One of the reasons why students go to counseling is being called on based on
self-reported health survey results. However, there is no concordant standard for such calls …

Mental health and suicidality in Afghan students after the Taliban takeover in 2021

A Naghavi, MS Afsharzada, J Brailovskaia… - Journal of affective …, 2022 - Elsevier
Background On the 15th of August 2021, Kabul was captured by the Taliban, leading to the
fall of the Islamic Republic of Afghanistan. The present study investigated PTSD symptoms …

[HTML][HTML] Diminished frontal pole size and functional connectivity in young adults with high suicidality

GW Kim, AH Farabaugh, R Vetterman, A Holmes… - Journal of affective …, 2022 - Elsevier
Background Suicide rates among young people have been increasing in recent years, yet
no validated methods are available for identifying those who are at greatest risk for suicide …

Thoth: An intelligent model for assisting individuals with suicidal ideation

WF Heckler, LP Feijó, JV de Carvalho… - Expert Systems with …, 2023 - Elsevier
Suicide causes approximately 800,000 deaths worldwide annually, meaning one death
every 40 s. Suicidal ideation is the first stage in the risk scale, in which the individuals have …

Structured data vs. unstructured data in machine learning prediction models for suicidal behaviors: A systematic review and meta-analysis

D Hopkins, DJ Rickwood, DJ Hallford… - Frontiers in digital …, 2022 - frontiersin.org
Suicide remains a leading cause of preventable death worldwide, despite advances in
research and decreases in mental health stigma through government health campaigns …

A comprehensive review of computer-aided diagnosis of major mental and neurological disorders and suicide: a biostatistical perspective on data mining

M Mansourian, S Khademi, HR Marateb - Diagnostics, 2021 - mdpi.com
The World Health Organization (WHO) suggests that mental disorders, neurological
disorders, and suicide are growing causes of morbidity. Depressive disorders …

The use of machine learning on administrative and survey data to predict suicidal thoughts and behaviors: a systematic review

NH Somé, P Noormohammadpour, S Lange - Frontiers in psychiatry, 2024 - frontiersin.org
Background Machine learning is a promising tool in the area of suicide prevention due to its
ability to combine the effects of multiple risk factors and complex interactions. The power of …

Posttraumatic stress disorder symptoms and suicidal ideation/behavior: The moderating effects of positive mental health and social support among Iranian and …

T Teismann, A Naghavi, Z Asgari, L Grundei… - Current …, 2023 - Springer
Suicidal ideation and behavior are common in those suffering from Posttraumatic Stress
Disorder (PTSD). The present study investigated factors buffering the association between …