2023
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 ResearchMeSH KeywordsAlgorithmsChildChild AbuseDecision Support Systems, ClinicalElectronic Health RecordsEmergency Service, HospitalHumansNatural Language ProcessingConceptsClinical 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 algorithmAbuse
2021
Development and Validation of a Natural Language Processing Tool to Identify Injuries in Infants Associated With Abuse
Tiyyagura G, Asnes AG, Leventhal JM, Shapiro ED, Auerbach M, Teng W, Powers E, Thomas A, Lindberg DM, McClelland J, Kutryb C, Polzin T, Daughtridge K, Sevin V, Hsiao AL. Development and Validation of a Natural Language Processing Tool to Identify Injuries in Infants Associated With Abuse. Academic Pediatrics 2021, 22: 981-988. PMID: 34780997, PMCID: PMC9095755, DOI: 10.1016/j.acap.2021.11.004.Peer-Reviewed Original ResearchAlgorithmsChildChild AbuseElectronic Health RecordsHumansInfantNatural Language ProcessingSensitivity and Specificity