AIMC Topic: Suicide Prevention
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Understanding and detecting behaviours prior to a suicide attempt: A mixed-methods study.
The Australian and New Zealand journal of psychiatry
Jan 30, 2023
OBJECTIVE: Prior research suggests there are observable behaviours preceding suicide attempts in public places. However, there are currently no ways to continually monitor such sites, limiting the potential to intervene. In this mixed-methods study, ...
Application of Natural Language Processing (NLP) in Detecting and Preventing Suicide Ideation: A Systematic Review.
International journal of environmental research and public health
Jan 13, 2023
(1) Introduction: Around a million people are reported to die by suicide every year, and due to the stigma associated with the nature of the death, this figure is usually assumed to be an underestimate. Machine learning and artificial intelligence su...
The Design of Psychological Education Intervention System in Universities Based on Deep Learning.
Computational intelligence and neuroscience
Jun 3, 2022
With the rapid development of Chinese society and economy as well as the deepening of the reform of the higher education management system and the change of employment mode of graduates, college students face various challenges of frustration and pre...
Predicting suicidal thoughts and behavior among adolescents using the risk and protective factor framework: A large-scale machine learning approach.
PloS one
Nov 3, 2021
INTRODUCTION: Addressing the problem of suicidal thoughts and behavior (STB) in adolescents requires understanding the associated risk factors. While previous research has identified individual risk and protective factors associated with many adolesc...
Detecting suicidal risk using MMPI-2 based on machine learning algorithm.
Scientific reports
Jul 28, 2021
Minnesota Multiphasic Personality Inventory-2 (MMPI-2) is a widely used tool for early detection of psychological maladjustment and assessing the level of adaptation for a large group in clinical settings, schools, and corporations. This study aims t...
From everyday life predictions to suicide prevention: Clinical and ethical considerations in suicide predictive analytic tools.
Journal of clinical psychology
Jun 30, 2021
Advances in artificial intelligence and machine learning have fueled growing interest in the application of predictive analytics to identify high-risk suicidal patients. Such application will require the aggregation of large-scale, sensitive patient ...
[Machine learning and suicide prevention: is an algorithm the solution?].
Nederlands tijdschrift voor geneeskunde
May 12, 2021
Suicide is inherently difficult to predict. Epidemiological research identified many general risk factors such as a depression, but these predictors have limited predictive power. Machine learning offers a set of tools that can combine hundreds of pr...
User-Centered Design of a Machine Learning Intervention for Suicide Risk Prediction in a Military Setting.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 25, 2021
Primary care represents a major opportunity for suicide prevention in the military. Significant advances have been made in using electronic health record data to predict suicide attempts in patient populations. With a user-centered design approach, w...
Deep neural networks detect suicide risk from textual facebook posts.
Scientific reports
Oct 7, 2020
Detection of suicide risk is a highly prioritized, yet complicated task. Five decades of research have produced predictions slightly better than chance (AUCs = 0.56-0.58). In this study, Artificial Neural Network (ANN) models were constructed to pred...
Artificial Intelligence and Suicide Prevention: A Systematic Review of Machine Learning Investigations.
International journal of environmental research and public health
Aug 15, 2020
Suicide is a leading cause of death that defies prediction and challenges prevention efforts worldwide. Artificial intelligence (AI) and machine learning (ML) have emerged as a means of investigating large datasets to enhance risk detection. A system...
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