AIMC Topic: Child Abuse

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Detecting substance-related problems in narrative investigation summaries of child abuse and neglect using text mining and machine learning.

Child abuse & neglect Sep 12, 2019
BACKGROUND: State child welfare agencies collect, store, and manage vast amounts of data. However, they often do not have the right data, or the data is problematic or difficult to inform strategies to improve services and system processes. Considera...
Humans Machine Learning Algorithms Mental Disorders Computer Simulation Child Narration Feasibility Studies Data Mining Child Abuse Child Welfare Child Protective Services
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Classification of Porcine Cranial Fracture Patterns Using a Fracture Printing Interface.

Journal of forensic sciences Nov 16, 2016
Distinguishing between accidental and abusive head trauma in children can be difficult, as there is a lack of baseline data for pediatric cranial fracture patterns. A porcine head model has recently been developed and utilized in a series of studies ...
Humans Machine Learning Software Animals Swine Child Diagnosis, Differential Skull Fractures Accidents Models, Animal Forensic Anthropology Child Abuse
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Using explainable machine learning to investigate the relationship between childhood maltreatment, positive psychological traits, and CPTSD symptoms.

European journal of psychotraumatology Dec 1, 2025
The functional impairment resulting from CPTSD symptoms is enduring and far-reaching. Existing research has found that CPTSD symptoms are closely associated with childhood maltreatment; however, researchers debate whether CPTSD symptoms are predomin...
Humans Machine Learning Female Male China Surveys and Questionnaires Adolescent Child Stress Disorders, Post-Traumatic Child Abuse
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Harnessing the Power of Machine Learning and Electronic Health Records to Support Child Abuse and Neglect Identification in Emergency Department Settings.

Studies in health technology and informatics Aug 22, 2024
Emergency departments (EDs) are pivotal in detecting child abuse and neglect, but this task is often complex. Our study developed a machine learning model using structured and unstructured electronic health record (EHR) data to predict when children ...
Humans Machine Learning Algorithms Electronic Health Records Female Male Infant Case-Control Studies Child, Preschool Child Natural Language Processing Emergency Service, Hospital Child Abuse
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