AIMC Topic: Suicide

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Predicting Suicides Among US Army Soldiers After Leaving Active Service.

JAMA psychiatry Dec 1, 2024
IMPORTANCE: The suicide rate of military servicemembers increases sharply after returning to civilian life. Identifying high-risk servicemembers before they leave service could help target preventive interventions.
Machine Learning Prognosis Female Humans Male Suicide United States Military Personnel Risk Factors Young Adult Adult
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Data Quality Matters: Suicide Intention Detection on Social Media Posts Using RoBERTa-CNN.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Suicide remains a pressing global health concern, necessitating innovative approaches for early detection and intervention. This paper focuses on identifying suicidal intentions in posts from the SuicideWatch subreddit by proposing a novel deep-learn...
Intention Data Accuracy Suicide Social Media Humans Neural Networks, Computer
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Interpretable Estimation of Suicide Risk and Severity from Complete Blood Count Parameters with Explainable Artificial Intelligence Methods.

Psychiatria Danubina Jan 1, 2023
BACKGROUND: The peripheral inflammatory markers are important in the pathophysiology of suicidal behavior. However, methods for practical uses haven't been developed enough yet. This study developed predictive models based on explainable artificial i...
Humans Artificial Intelligence Aged, 80 and over Young Adult Adult Male Female Reproducibility of Results Aged Suicide Models, Statistical Middle Aged Case-Control Studies Blood Cell Count Risk Assessment Adolescent Suicide, Attempted Suicidal Ideation
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Pilot Mental Health, Methodologies, and Findings: A Systematic Review.

Aerospace medicine and human performance Sep 1, 2022
Pilots' mental health has received increased attention following Germanwings Flight 9525 in 2015, where the copilot intentionally crashed the aircraft into the French Alps, killing all on board. An investigation of this incident found that the pilot...
Suicide Humans Aircraft Mental Health Pilots Anxiety
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Resampling to address inequities in predictive modeling of suicide deaths.

BMJ health & care informatics Apr 1, 2022
OBJECTIVE: Improve methodology for equitable suicide death prediction when using sensitive predictors, such as race/ethnicity, for machine learning and statistical methods.
Bayes Theorem Delivery of Health Care Suicide Area Under Curve Humans Machine Learning
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Prediction of Sex-Specific Suicide Risk Using Machine Learning and Single-Payer Health Care Registry Data From Denmark.

JAMA psychiatry Jan 1, 2020
IMPORTANCE: Suicide is a public health problem, with multiple causes that are poorly understood. The increased focus on combining health care data with machine-learning approaches in psychiatry may help advance the understanding of suicide risk.
Registries Sex Factors Marital Status Suicide Single-Payer System Models, Statistical Suicide, Completed Humans Denmark Female Male Adult Middle Aged Machine Learning Risk Assessment Mental Disorders
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What health records data are required for accurate prediction of suicidal behavior?

Journal of the American Medical Informatics Association : JAMIA Dec 1, 2019
OBJECTIVE: The study sought to evaluate how availability of different types of health records data affect the accuracy of machine learning models predicting suicidal behavior.
Electronic Health Records Female Risk Factors Male Self Report Middle Aged Models, Psychological Aged Adult Adolescent Humans Suicide Machine Learning Risk Assessment Logistic Models Suicide, Attempted Surveys and Questionnaires
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Identifying Suicidal Adolescents from Mental Health Records Using Natural Language Processing.

Studies in health technology and informatics Aug 21, 2019
Suicidal ideation is a risk factor for self-harm, completed suicide and can be indicative of mental health issues. Adolescents are a particularly vulnerable group, but few studies have examined suicidal behaviour prevalence in large cohorts. Electron...
Natural Language Processing Humans Adolescent Electronic Health Records Suicidal Ideation Mental Health Suicide
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[Machine learning in predicting suicide: something for the future?].

Tijdschrift voor psychiatrie Jan 1, 2019
Suicide Humans Machine Learning Forecasting
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Machine Learning Models for Prediction of Reinjury After Penetrating Trauma.

JAMA surgery Feb 1, 2018
This study compares several machine learning models for prediction of reinjury after penetrating trauma.
Self-Injurious Behavior Humans United States Mental Disorders Machine Learning Recurrence Models, Theoretical Databases, Factual Forecasting Patient Readmission Wounds, Penetrating Suicide
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