AIMC Topic: Criminals

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Factors and predictors of length of stay in offenders diagnosed with schizophrenia - a machine-learning-based approach.

BMC psychiatry May 6, 2020
BACKGROUND: Prolonged forensic psychiatric hospitalizations have raised ethical, economic, and clinical concerns. Due to the confounded nature of factors affecting length of stay of psychiatric offender patients, prior research has called for the app...
Retrospective Studies Female Humans Machine Learning Length of Stay Switzerland Schizophrenia Adult Male Forensic Psychiatry Criminals Homicide
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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...
Crime Criminals Sex Characteristics Prisoners Gray Matter Humans Image Processing, Computer-Assisted Forensic Pathology Machine Learning Magnetic Resonance Imaging Adult Brain Male Adolescent Aged Child Female Middle Aged Young Adult Reproducibility of Results
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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 Conduct Disorder Juvenile Delinquency Antisocial Personality Disorder Male Amygdala Adolescent Humans Hippocampus Young Adult Support Vector Machine Cerebral Cortex Machine Learning Adult Magnetic Resonance Imaging Criminals
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RIPTOSO: The development of a screening tool for adverse events during forensic-psychiatric inpatient treatments of offenders with schizophrenia spectrum disorders.

Psychiatry research Aug 1, 2025
Adverse events such as compulsory measures, absconding, illicit substance use, self-harm, aggressive behavior, and prolonged hospitalization pose significant challenges in forensic psychiatric inpatient care. This study introduces a machine learning-...
Middle Aged Support Vector Machine Machine Learning Adult Humans Retrospective Studies Schizophrenia Female Male Inpatients Criminals Young Adult Switzerland Forensic Psychiatry
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Criminal emotion detection framework using convolutional neural network for public safety.

Scientific reports May 1, 2025
In the era of rapid societal modernization, the issue of crime stands as an intrinsic facet, demanding our attention and consideration. As our communities evolve and adopt technological advancements, the dynamic landscape of criminal activities becom...
Crime Convolutional Neural Networks Humans Criminals Emotions Neural Networks, Computer
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