AIMC Topic: Prisoners

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Suicide Risk Screening in Jails: Protocol for a Pilot Study Leveraging the Mental Health Research Network Algorithm and Health Care Data.

JMIR research protocols Jun 25, 2025
BACKGROUND: Suicide in local jails occurs at a higher rate than in the general population, requiring improvements to risk screening methods. Current suicide risk screening practices in jails are insufficient: They are commonly not conducted using val...
Mental Health Male Risk Assessment Algorithms Female Adult United States Mass Screening Prisoners Jails Pilot Projects Suicide Prevention Suicide Humans Machine Learning
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Research on a machine learning-based adaptive and efficient screening model for psychological symptoms of community correctional prisoners.

Scientific reports Apr 30, 2024
Community correction institutions in China frequently employ the Symptom Checklist-90 (SCL-90) and the health survey brief (SF-12) as primary tools for psychological assessment of community correctional prisoners. However, in practical application, t...
Humans Machine Learning China Mass Screening Prisoners Prisons Adult Algorithms Male Female Middle Aged Young Adult
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Machine learning of brain gray matter differentiates sex in a large forensic sample.

Human brain mapping Nov 15, 2018
Differences between males and females have been extensively documented in biological, psychological, and behavioral domains. Among these, sex differences in the rate and typology of antisocial behavior remains one of the most conspicuous and enduring...
Prisoners Forensic Pathology Gray Matter Crime Criminals Male Middle Aged Adolescent Magnetic Resonance Imaging Humans Aged Sex Characteristics Child Machine Learning Young Adult Brain Adult Image Processing, Computer-Assisted Female Reproducibility of Results
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Digital Family History Data Mining with Neural Networks: A Pilot Study.

Perspectives in health information management Jan 1, 2016
Following the passage of the Health Information Technology for Economic and Clinical Health (HITECH) Act of 2009, electronic health records were widely adopted by eligible physicians and hospitals in the United States. Stage 2 meaningful use menu obj...
Human Genome Project Humans Prisoners Neural Networks, Computer American Recovery and Reinvestment Act Vietnam Conflict Electronic Health Records Pilot Projects Aged Veterans Health Status Surveys and Questionnaires Male Meaningful Use Data Mining United States Florida Family Health
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Machine learning of structural magnetic resonance imaging predicts psychopathic traits in adolescent offenders.

NeuroImage Dec 12, 2015
Classification models are becoming useful tools for finding patterns in neuroimaging data sets that are not observable to the naked eye. Many of these models are applied to discriminating clinical groups such as schizophrenic patients from healthy co...
Prisoners Support Vector Machine Adult Amygdala Humans Cerebral Cortex Male Magnetic Resonance Imaging Conduct Disorder Machine Learning Criminals Adolescent Hippocampus Juvenile Delinquency Young Adult Antisocial Personality Disorder
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Measuring Exposure to Incarceration Using the Electronic Health Record.

Medical care Jun 1, 2019
BACKGROUND: Electronic health records (EHRs) are a rich source of health information; however social determinants of health, including incarceration, and how they impact health and health care disparities can be hard to extract.
Medicare Self Report Ethnicity Cohort Studies United States Natural Language Processing Administrative Claims, Healthcare Prisoners Information Storage and Retrieval United States Department of Veterans Affairs Veterans Electronic Health Records Female Adult Sensitivity and Specificity Male Middle Aged Humans
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