Natural Language Processing to Identify Infants Aged 90 Days and Younger With Fevers Prior to Presentation.
Aronson P, Kuppermann N, Mahajan P, Nielsen B, Olsen C, Meeks H, Grundmeier R. Natural Language Processing to Identify Infants Aged 90 Days and Younger With Fevers Prior to Presentation. Hospital Pediatrics 2024, 15: e1-e5. PMID: 39679596, PMCID: PMC12163744, DOI: 10.1542/hpeds.2024-008051.Peer-Reviewed Original ResearchElectronic health recordsEmergency departmentNatural language processing algorithmsElectronic health record dataPediatric Emergency Care Applied Research Network RegistryFebrile infantsNatural language processingCross-sectional studyTrauma-related diagnosesPositive predictive valueHealth recordsHealth systemDocumented feverClinical notesPre-EDNetwork registryCohort identificationVisitsLanguage processingNLP algorithmsPredictive valueInfantsFeverResearch studiesBoneScore: A natural language processing algorithm to extract bone mineral density data from DXA scans
Fodeh S, Wang R, Murphy T, Kidwai-Khan F, Leo-Summers L, Tessier-Sherman B, Hsieh E, Womack J. BoneScore: A natural language processing algorithm to extract bone mineral density data from DXA scans. Health Informatics Journal 2024, 30: 14604582241295930. PMID: 39526751, PMCID: PMC11872221, DOI: 10.1177/14604582241295930.Peer-Reviewed Original ResearchConceptsT-score valuesT-scoreNLP algorithmsDXA scansFemoral neck T-scoreNatural language processing algorithmsBone mineral density dataLanguage processing algorithmsBone mineral densityExtract annotationsRegular expressionsTest dataProcessing algorithmsDXA reportsMineral densityAlgorithmMultivariate linear regressionClinical face validityRisk factorsPresence of informationDXANLPClinical validationClinical expertsAccuracy
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