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 …
risk scale, being a potential gate for suicide prevention. Machine learning emerged as a …
Classification of suicidality by training supervised machine learning models with brain MRI findings: A systematic review
Background Suicide is a global public health issue causing around 700,000 deaths
worldwide each year. Therefore, identifying suicidal thoughts and behaviors in patients can …
worldwide each year. Therefore, identifying suicidal thoughts and behaviors in patients can …
Identification of suicidality in adolescent major depressive disorder patients using sMRI: A machine learning approach.
Background: Suicidal behavior is a major concern for patients who suffer from major
depressive disorder (MDD), especially among adolescents and young adults. Machine …
depressive disorder (MDD), especially among adolescents and young adults. Machine …
Artificial Intelligence-based Suicide Prevention and Prediction: A Systematic Review (2019-2023)
Suicide is a major global public health concern, and the application of artificial intelligence
(AI) methods, such as natural language processing (NLP), machine learning (ML), and deep …
(AI) methods, such as natural language processing (NLP), machine learning (ML), and deep …
Identifying suicide attempts, ideation, and non-ideation in major depressive disorder from structural MRI data using deep learning
The present study aims to identify suicide risks in major depressive disorders (MDD) patients
from structural MRI (sMRI) data using deep learning. In this paper, we collected the sMRI …
from structural MRI (sMRI) data using deep learning. In this paper, we collected the sMRI …
Machine learning and the prediction of suicide in psychiatric populations: a systematic review
Abstract Machine learning (ML) has emerged as a promising tool to enhance suicidal
prediction. However, as many large-sample studies mixed psychiatric and non-psychiatric …
prediction. However, as many large-sample studies mixed psychiatric and non-psychiatric …
Artificial intelligence and machine learning techniques for suicide prediction: Integrating dietary patterns and environmental contaminants
Background Suicide remains a leading cause of death globally, with nearly 800,000 deaths
annually, particularly among young adults in regions like Europe, Australia, and the Middle …
annually, particularly among young adults in regions like Europe, Australia, and the Middle …
Predicting suicidality with small sets of interpretable reward behavior and survey variables
The prediction of suicidal thought and behavior has met with mixed results. This study of
3,476 de-identified participants (4,019 before data exclusion) quantified the prediction of …
3,476 de-identified participants (4,019 before data exclusion) quantified the prediction of …
Prediction of Suicidal Risk Using Machine Learning Models
GS Kashyap, A Siddiqui, R Siddiqui… - Research Advances …, 2021 - papers.ssrn.com
Abstract According to WHO (World Health Organization), every 40 seconds a person dies of
suicide. This amounts to a total of 800,000 people every year falling victim to suicides …
suicide. This amounts to a total of 800,000 people every year falling victim to suicides …
Stacked CNN-LSTM approach for prediction of suicidal ideation on social media
The growing use of social media forums to express suicidal ideation creates an immense
requirement for automatic recognition of suicidal posts. Individuals use social forums to …
requirement for automatic recognition of suicidal posts. Individuals use social forums to …