AIMC Topic: Suicide, Attempted
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Classification of suicide attempters in schizophrenia using sociocultural and clinical features: A machine learning approach.
General hospital psychiatry
Mar 4, 2017
OBJECTIVE: Suicide is a major concern for those afflicted by schizophrenia. Identifying patients at the highest risk for future suicide attempts remains a complex problem for psychiatric interventions. Machine learning models allow for the integratio...
Novel Use of Natural Language Processing (NLP) to Predict Suicidal Ideation and Psychiatric Symptoms in a Text-Based Mental Health Intervention in Madrid.
Computational and mathematical methods in medicine
Sep 26, 2016
Natural language processing (NLP) and machine learning were used to predict suicidal ideation and heightened psychiatric symptoms among adults recently discharged from psychiatric inpatient or emergency room settings in Madrid, Spain. Participants re...
Surveys and Questionnaires
Humans
Psychometrics
Machine Learning
Follow-Up Studies
Algorithms
Mental Health Services
Mental Disorders
Predictive Value of Tests
Self-Injurious Behavior
Female
Natural Language Processing
Text Messaging
Patient Discharge
Reminder Systems
Telemedicine
Sensitivity and Specificity
Hospitals, Psychiatric
Spain
Male
Reproducibility of Results
Middle Aged
Hospitalization
Suicide, Attempted
Young Adult
Diagnosis, Computer-Assisted
Adult
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...
A Controlled Trial Using Natural Language Processing to Examine the Language of Suicidal Adolescents in the Emergency Department.
Suicide & life-threatening behavior
Aug 7, 2015
What adolescents say when they think about or attempt suicide influences the medical care they receive. Mental health professionals use teenagers' words, actions, and gestures to gain insight into their emotional state and to prescribe what they beli...
Evaluating natural language processing derived linguistic features associated with current suicidal ideation, past attempts, and future suicidal behavior.
Journal of psychiatric research
Jul 1, 2025
BACKGROUND: People with psychosis have a higher suicide risk than the general population. Natural language processing (NLP) has been used to understand communication in psychosis and suicide risk prediction, but not to predict future suicidal behavio...
Construction and verification of risk prediction model for suicidal attempts of mood disorder based on machine learning.
Journal of affective disorders
Jul 1, 2025
BACKGROUND: Mood disorders (MD) are closely related to suicide attempt (SA). Developing an effective prediction model for SA in MD patients could play a crucial role in the early identification of high-risk groups.
Predictive Performance of Machine Learning for Suicide in Adolescents: Systematic Review and Meta-Analysis.
Journal of medical Internet research
Jun 16, 2025
BACKGROUND: In the context of escalating global mental health challenges, adolescent suicide has become a critical public health concern. In current clinical practices, considerable challenges are encountered in the early identification of suicide ri...
Clinician Suicide Risk Assessment for Prediction of Suicide Attempt in a Large Health Care System.
JAMA psychiatry
Jun 1, 2025
IMPORTANCE: Clinical practice guidelines recommend suicide risk screening and assessment across behavioral health settings. The predictive accuracy of real-world clinician assessments for stratifying patients by risk of future suicidal behavior, howe...
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...
Computing 3-Step Theory of Suicide Factor Scores From Veterans Health Administration Clinical Progress Notes.
Suicide & life-threatening behavior
Feb 1, 2025
BACKGROUND: Literature on how to translate information extracted from clinical progress notes into numeric scores for 3-step theory of suicide (3ST) factors is nonexistent. We determined which scoring option would best discriminate between patients w...
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