AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Self-Injurious Behavior

Showing 21 to 30 of 31 articles

Clear Filters

The use of machine learning in the study of suicidal and non-suicidal self-injurious thoughts and behaviors: A systematic review.

Journal of affective disorders 30699872
BACKGROUND: Machine learning techniques offer promise to improve suicide risk prediction. In the current systematic review, we aimed to review the existing literature on the application of machine learning techniques to predict self-injurious thought...
Humans Machine Learning Predictive Value of Tests Risk Assessment Self-Injurious Behavior Suicidal Ideation Suicide, Attempted
View on PubMed DOI

Machine Learning Models for Prediction of Reinjury After Penetrating Trauma.

JAMA surgery 29049476
This study compares several machine learning models for prediction of reinjury after penetrating trauma.
Databases, Factual Forecasting Humans Machine Learning Mental Disorders Models, Theoretical Patient Readmission Recurrence Self-Injurious Behavior Suicide United States Wounds, Penetrating
View on PubMed DOI

Predicting suicide attempts in adolescents with longitudinal clinical data and machine learning.

Journal of child psychology and psychiatry, and allied disciplines 29709069
BACKGROUND: Adolescents have high rates of nonfatal suicide attempts, but clinically practical risk prediction remains a challenge. Screening can be time consuming to implement at scale, if it is done at all. Computational algorithms may predict suic...
Adolescent Depression Female Humans Longitudinal Studies Machine Learning Male Retrospective Studies Risk Assessment Self-Injurious Behavior Suicide, Attempted
View on PubMed DOI

Using natural language processing of clinical text to enhance identification of opioid-related overdoses in electronic health records data.

Pharmacoepidemiology and drug safety 31218780
PURPOSE: To enhance automated methods for accurately identifying opioid-related overdoses and classifying types of overdose using electronic health record (EHR) databases.
Analgesics, Opioid Datasets as Topic Drug Overdose Electronic Health Records Heroin Humans Natural Language Processing Opioid-Related Disorders Predictive Value of Tests Risk Self-Injurious Behavior Sensitivity and Specificity Washington
View on PubMed DOI

Predicting mechanical restraint of psychiatric inpatients by applying machine learning on electronic health data.

Acta psychiatrica Scandinavica 31209866
OBJECTIVE: Mechanical restraint (MR) is used to prevent patients from harming themselves or others during inpatient treatment. The objective of this study was to investigate whether incident MR occurring in the first 3 days following admission could ...
Case-Control Studies Denmark Early Warning Score Electronic Health Records Female Hospitalization Humans Inpatients Machine Learning Male Mental Disorders Predictive Value of Tests Restraint, Physical Self-Injurious Behavior Sensitivity and Specificity Time Factors
View on PubMed DOI

Predicting self-harm within six months after initial presentation to youth mental health services: A machine learning study.

PloS one 33382713
BACKGROUND: A priority for health services is to reduce self-harm in young people. Predicting self-harm is challenging due to their rarity and complexity, however this does not preclude the utility of prediction models to improve decision-making rega...
Adolescent Adult Antipsychotic Agents Area Under Curve Bipolar Disorder Child Female Humans Machine Learning Male Mental Health Services Psychotic Disorders ROC Curve Self-Injurious Behavior Suicidal Ideation Young Adult
View on PubMed DOI

Imputation and characterization of uncoded self-harm in major mental illness using machine learning.

Journal of the American Medical Informatics Association : JAMIA 31651956
OBJECTIVE: We aimed to impute uncoded self-harm in administrative claims data of individuals with major mental illness (MMI), characterize self-harm incidence, and identify factors associated with coding bias.
Adult Algorithms Classification Clinical Coding Datasets as Topic Electronic Health Records Female Humans Incidence Machine Learning Male Mental Disorders Self-Injurious Behavior Suicidal Ideation
View on PubMed DOI

Using machine learning to classify suicide attempt history among youth in medical care settings.

Journal of affective disorders 32174479
BACKGROUND: The current study aimed to classify recent and lifetime suicide attempt history among youth presenting to medical settings using machine learning (ML) as applied to a behavioral health screen self-report survey.
Adolescent Algorithms Cross-Sectional Studies Emergency Service, Hospital Female Humans Machine Learning Male Pennsylvania Risk Factors Self-Injurious Behavior Suicidal Ideation Suicide, Attempted
View on PubMed DOI

Detecting and Classifying Self-injurious Behavior in Autism Spectrum Disorder Using Machine Learning Techniques.

Journal of autism and developmental disorders 32219634
Traditional self-injurious behavior (SIB) management can place compliance demands on the caregiver and have low ecological validity and accuracy. To support an SIB monitoring system for autism spectrum disorder (ASD), we evaluated machine learning me...
Adolescent Autism Spectrum Disorder Child Child, Preschool Cluster Analysis Electrocardiography Female Humans Machine Learning Male Self-Injurious Behavior
View on PubMed DOI

Development of a Self-Harm Monitoring System for Victoria.

International journal of environmental research and public health 33333970
The prevention of suicide and suicide-related behaviour are key policy priorities in Australia and internationally. The World Health Organization has recommended that member states develop self-harm surveillance systems as part of their suicide preve...
Adolescent Artificial Intelligence Emergency Service, Hospital Humans Self-Injurious Behavior Suicide, Attempted Victoria
View on PubMed DOI
Popular Topics
Recent Journals