AIMC Topic: Suicide

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Machine learning approach for the development of a crucial tool in suicide prevention: The Suicide Crisis Inventory-2 (SCI-2) Short Form.

PloS one May 10, 2024
The Suicide Crisis Syndrome (SCS) describes a suicidal mental state marked by entrapment, affective disturbance, loss of cognitive control, hyperarousal, and social withdrawal that has predictive capacity for near-term suicidal behavior. The Suicide ...
Female Aged Adult Suicidal Ideation Male Young Adult Humans Suicide Middle Aged Surveys and Questionnaires Machine Learning Logistic Models Adolescent Suicide Prevention
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Sexual and Gender Minority Status and Suicide Mortality: An Explainable Artificial Intelligence Analysis.

International journal of public health May 6, 2024
Suicide risk is elevated in lesbian, gay, bisexual, and transgender (LGBT) individuals. Limited data on LGBT status in healthcare systems hinder our understanding of this risk. This study used natural language processing to extract LGBT status and a...
Female Risk Factors Aged Veterans Humans Artificial Intelligence Sexual and Gender Minorities Case-Control Studies Natural Language Processing Adult Suicide Male United States Middle Aged
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Emerging Trends of Self-Harm Using Sodium Nitrite in an Online Suicide Community: Observational Study Using Natural Language Processing Analysis.

JMIR mental health May 2, 2024
BACKGROUND: There is growing concern around the use of sodium nitrite (SN) as an emerging means of suicide, particularly among younger people. Given the limited information on the topic from traditional public health surveillance sources, we studied ...
Sodium Nitrite Natural Language Processing Internet Self-Injurious Behavior Female Humans Male Young Adult Suicide Adult Social Media
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Artificial Intelligence and the National Violent Death Reporting System: A Rapid Review.

Computers, informatics, nursing : CIN May 1, 2024
As the awareness on violent deaths from guns, drugs, and suicides emerges as a public health crisis in the United States, attempts to prevent injury and mortality through nursing research are critical. The National Violent Death Reporting System prov...
Humans Artificial Intelligence Natural Language Processing Cause of Death Violence Machine Learning Suicide United States
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Explainable artificial intelligence models for predicting risk of suicide using health administrative data in Quebec.

PloS one Apr 3, 2024
Suicide is a complex, multidimensional event, and a significant challenge for prevention globally. Artificial intelligence (AI) and machine learning (ML) have emerged to harness large-scale datasets to enhance risk detection. In order to trust and ac...
Quebec Routinely Collected Health Data Humans Male Artificial Intelligence Case-Control Studies Female Suicide
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Analysis and evaluation of explainable artificial intelligence on suicide risk assessment.

Scientific reports Mar 14, 2024
This study explores the effectiveness of Explainable Artificial Intelligence (XAI) for predicting suicide risk from medical tabular data. Given the common challenge of limited datasets in health-related Machine Learning (ML) applications, we use data...
Humans Artificial Intelligence Suicide Anger Machine Learning Risk Assessment
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Predicting suicide risk in real-time crisis hotline chats integrating machine learning with psychological factors: Exploring the black box.

Suicide & life-threatening behavior Feb 12, 2024
BACKGROUND: This study addresses the suicide risk predicting challenge by exploring the predictive ability of machine learning (ML) models integrated with theory-driven psychological risk factors in real-time crisis hotline chats. More importantly, w...
Male Middle Aged Risk Assessment Female Risk Factors Adult Hotlines Suicide Prevention Suicide Natural Language Processing Humans Machine Learning
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Exploring the Potential of Artificial Intelligence in Adolescent Suicide Prevention: Current Applications, Challenges, and Future Directions.

Psychiatry Jan 16, 2024
ObjectiveThe global surge in adolescent suicide necessitates the development of innovative and efficacious preventive measures. Traditionally, various approaches have been used, but with limited success. However, with the rapid advancements in artifi...
Adolescent Suicide Prevention Suicidal Ideation Suicide Humans Artificial Intelligence Risk Assessment
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Artificial intelligence-based approaches for suicide prediction: Hope or hype?

Asian journal of psychiatry Aug 9, 2023
Accurate prediction of suicide risk is important because it allows evidence-based interventions to be targeted to at-risk populations. Conventional approaches to prediction of suicide risk have shown suboptimal accuracy. In this context, artificial i...
Humans Artificial Intelligence Risk Factors Suicide India
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Public Surveillance of Social Media for Suicide Using Advanced Deep Learning Models in Japan: Time Series Study From 2012 to 2022.

Journal of medical Internet research Jun 2, 2023
BACKGROUND: Social media platforms have been increasingly used to express suicidal thoughts, feelings, and acts, raising public concerns over time. A large body of literature has explored the suicide risks identified by people's expressions on social...
Japan Suicide Humans Time Factors Deep Learning Social Media
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