Natural Language Processing — A Surveillance Stepping Stone to Identify Child Abuse
Shum M, Hsiao A, Teng W, Asnes A, Amrhein J, Tiyyagura G. Natural Language Processing — A Surveillance Stepping Stone to Identify Child Abuse. Academic Pediatrics 2023, 24: 92-96. PMID: 37652162, PMCID: PMC10840716, DOI: 10.1016/j.acap.2023.08.015.Peer-Reviewed Original ResearchConceptsClinical guidelinesClinical decision support toolSignificant demographic differencesED providersProvider notesInsurance statusGeneral EDsClinical careAbuse evaluationsED typeChild protective servicesChild abuseInjuryAppropriate evaluationChild physical abuseNLP algorithmDemographic differencesPhysical abuseAdherenceDemographic variablesProtective servicesNatural language processing algorithmAbuseFrequency of injuries in a voluntary program evaluating young children exposed to intimate partner violence
Tiyyagura G, Leventhal J, Crawley D, Asnes A. Frequency of injuries in a voluntary program evaluating young children exposed to intimate partner violence. Child Abuse & Neglect 2023, 144: 106385. PMID: 37541095, PMCID: PMC10529266, DOI: 10.1016/j.chiabu.2023.106385.Peer-Reviewed Original ResearchConceptsIPV-exposed childrenFrequency of injuriesIntimate partner violenceIPV exposureProspective observational studyMulti-center studyDetectable injuryAbusive injuriesClinical guidelinesObservational studyIntracranial findingsPartner violenceHigh riskStudy of childrenCutaneous injuryInjuryRoutine evaluationAmerican womenYoung childrenChildrenTrue frequencyPhysical child abusePhysical abuseCPS investigatorsIPV events