AIMC Topic: Suicide Prevention
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Psychiatric stressor recognition from clinical notes to reveal association with suicide.
Health informatics journal
Oct 17, 2018
Suicide takes the lives of nearly a million people each year and it is a tremendous economic burden globally. One important type of suicide risk factor is psychiatric stress. Prior studies mainly use survey data to investigate the association between...
Extracting psychiatric stressors for suicide from social media using deep learning.
BMC medical informatics and decision making
Jul 23, 2018
BACKGROUND: Suicide has been one of the leading causes of deaths in the United States. One major cause of suicide is psychiatric stressors. The detection of psychiatric stressors in an at risk population will facilitate the early prevention of suicid...
Smartphones, Sensors, and Machine Learning to Advance Real-Time Prediction and Interventions for Suicide Prevention: a Review of Current Progress and Next Steps.
Current psychiatry reports
Jun 28, 2018
PURPOSE OF REVIEW: As rates of suicide continue to rise, there is urgent need for innovative approaches to better understand, predict, and care for those at high risk of suicide. Numerous mobile and sensor technology solutions have already been propo...
A Machine Learning Approach to Identifying the Thought Markers of Suicidal Subjects: A Prospective Multicenter Trial.
Suicide & life-threatening behavior
Nov 3, 2016
Death by suicide demonstrates profound personal suffering and societal failure. While basic sciences provide the opportunity to understand biological markers related to suicide, computer science provides opportunities to understand suicide thought ma...
Identifying a clinical signature of suicidality among patients with mood disorders: A pilot study using a machine learning approach.
Journal of affective disorders
Jan 1, 2016
OBJECTIVE: A growing body of evidence has put forward clinical risk factors associated with patients with mood disorders that attempt suicide. However, what is not known is how to integrate clinical variables into a clinically useful tool in order to...
Analysis of NTSB Aircraft-Assisted Pilot Suicides: 1982-2014.
Suicide & life-threatening behavior
Aug 26, 2015
On March 24, 2015, a Germanwings aircraft crashed in the Alps. The suicidal copilot killed himself and 150 others. Pilot suicide is rare, but does happen. This research analyzed the National Transportation Safety Board's accident database (eADMS) loo...
Machine learning applications related to suicide in military and Veterans: A scoping literature review.
Journal of biomedical informatics
Jul 1, 2025
OBJECTIVE: Suicide remains one of the main preventable causes of death among service members and veterans. Early detection and accurate prediction are essential components of effective suicide prevention strategies. Machine learning techniques have b...
Machine Learning-Based Clinical Decision Support System for Suicide Risk Management: The PERMANENS Project.
Studies in health technology and informatics
May 15, 2025
The PERMANENS European project addresses the global public health challenge of self-harm and suicide by developing a machine learning-based Clinical Decision Support System (CDSS) to assist emergency departments (EDs) in providing personalized care. ...
Exploratory Analysis of Nationwide Japanese Patient Safety Reports on Suicide and Suicide Attempts Among Inpatients With Cancer Using Large Language Models.
Psycho-oncology
May 1, 2025
OBJECTIVE: Patients with cancer have a high risk of suicide. However, evidence-based preventive measures remain unclear. This study aimed to investigate suicide prevention strategies for hospitalized patients with cancer by analyzing nationwide patie...
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