AIMC Topic: Suicidal Ideation

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Detecting and Analyzing Suicidal Ideation on Social Media Using Deep Learning and Machine Learning Models.

International journal of environmental research and public health Oct 3, 2022
Individuals who suffer from suicidal ideation frequently express their views and ideas on social media. Thus, several studies found that people who are contemplating suicide can be identified by analyzing social media posts. However, finding and comp...
Humans Male Deep Learning Suicidal Ideation Neural Networks, Computer Social Media Machine Learning Female
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Comparison of three machine learning models to predict suicidal ideation and depression among Chinese adolescents: A cross-sectional study.

Journal of affective disorders Sep 16, 2022
BACKGROUND: Machine learning (ML) algorithms based on various clinicodemographic, psychometric, and biographic factors have been used to predict depression, suicidal ideation, and suicide attempt in adolescents, but there is still a need for more acc...
Suicidal Ideation Cross-Sectional Studies Humans Computer Simulation Male Machine Learning Predictive Value of Tests Female China Depression Adolescent
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Suicidal behaviour prediction models using machine learning techniques: A systematic review.

Artificial intelligence in medicine Sep 6, 2022
BACKGROUND: Early detection and prediction of suicidal behaviour are key factors in suicide control. In conjunction with recent advances in the field of artificial intelligence, there is increasing research into how machine learning can assist in the...
Data Mining Artificial Intelligence Humans Machine Learning Suicidal Ideation
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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...
Suicide Universities Deep Learning Suicide Prevention Suicidal Ideation Adult Students Humans
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Suicide Risk Prediction in Clinical Settings-Additional Considerations for Face-to-Face Screening and Machine Learning Approaches.

JAMA network open May 2, 2022
Humans Machine Learning Suicidal Ideation
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Expressions of anger during advising on life dilemmas predict suicide risk among college students.

PsyCh journal Feb 22, 2022
Research has demonstrated a relationship between anger and suicidality, while real-time authentic emotions behind facial expressions could be detected during advising hypothetical protagonists in life dilemmas. This study aimed to investigate the pre...
Humans Suicide, Attempted Suicidal Ideation Anger Artificial Intelligence Adult Students
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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...
Schools Cannabis Utah Male Suicidal Ideation Female Surveys and Questionnaires Students Humans Risk Factors Suicide Adolescent Suicide, Attempted Machine Learning Internet Suicide Prevention Young Adult Forecasting Bullying
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Deep graph neural network-based prediction of acute suicidal ideation in young adults.

Scientific reports Aug 4, 2021
Precise remote evaluation of both suicide risk and psychiatric disorders is critical for suicide prevention as well as for psychiatric well-being. Using questionnaires is an alternative to labor-intensive diagnostic interviews in a large general popu...
Area Under Curve Self Concept Surveys and Questionnaires Adolescent Suicidal Ideation Neural Networks, Computer Mental Disorders Humans Sensitivity and Specificity Male Anxiety Depression Resilience, Psychological Suicide, Attempted Psychiatric Status Rating Scales Prognosis Risk Factors Republic of Korea Young Adult Female Adult
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Machine learning as the new approach in understanding biomarkers of suicidal behavior.

Bosnian journal of basic medical sciences Aug 1, 2021
In psychiatry, compared to other medical fields, the identification of biological markers that would complement current clinical interview, and enable more objective and faster clinical diagnosis, implement accurate monitoring of treatment response a...
Machine Learning Biomarkers Precision Medicine Suicidal Ideation Humans
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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...
ROC Curve Area Under Curve False Positive Reactions MMPI Suicide Prevention Female Suicidal Ideation Risk Factors Humans Suicide Young Adult Risk Assessment Machine Learning Male Suicide, Attempted Adolescent
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