AIMC Topic: Self-Injurious Behavior

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

Journal of the American Medical Informatics Association : JAMIA Jan 1, 2020
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.
Humans Machine Learning Algorithms Mental Disorders Electronic Health Records Female Adult Male Suicidal Ideation Incidence Datasets as Topic Classification Self-Injurious Behavior Clinical Coding
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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.
Humans Machine Learning Forecasting Mental Disorders Databases, Factual Suicide United States Models, Theoretical Patient Readmission Self-Injurious Behavior Recurrence Wounds, Penetrating
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