AIMC Topic: Child Abuse

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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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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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