2023
Mining of EHR for interface terminology concepts for annotating EHRs of COVID patients
Keloth V, Zhou S, Lindemann L, Zheng L, Elhanan G, Einstein A, Geller J, Perl Y. Mining of EHR for interface terminology concepts for annotating EHRs of COVID patients. BMC Medical Informatics And Decision Making 2023, 23: 40. PMID: 36829139, PMCID: PMC9951157, DOI: 10.1186/s12911-023-02136-0.Peer-Reviewed Original ResearchConceptsElectronic health recordsCoronavirus Infectious Disease OntologyGranular conceptsTextual dataInterface terminologyVolume of textual dataSNOMED CTLack of annotationsMining of electronic health recordsMachine learning modelsInfectious Disease OntologyTraining dataAutomatic annotationAutomatic extractionLearning modelsMining approachHold-out datasetElectronic health record dataCOVID-19 terminologyHealth recordsAnnotationOntologyDisease OntologyDatasetSNOMED
2020
Generating Training Data for Concept-Mining for an ‘Interface Terminology’ Annotating Cardiology EHRs
Keloth V, Zhou S, Einstein A, Elhanan G, Chen Y, Geller J, Perl Y. Generating Training Data for Concept-Mining for an ‘Interface Terminology’ Annotating Cardiology EHRs. 2020, 00: 1728-1735. DOI: 10.1109/bibm49941.2020.9313435.Peer-Reviewed Original ResearchMining Concepts for a COVID Interface Terminology for Annotation of EHRs
Keloth V, Zhou S, Lindemann L, Elhanan G, Einstein A, Geller J, Perl Y. Mining Concepts for a COVID Interface Terminology for Annotation of EHRs. 2020, 00: 3753-3760. DOI: 10.1109/bigdata50022.2020.9377981.Peer-Reviewed Original ResearchInterface terminologyDeluge of medical dataAnnotated clinical notesMachine learning techniquesConcept miningTraining dataClinical textHuge volumesLearning techniquesMining conceptsGranular conceptsMedical dataEHRInitial versionIncomplete dataAnnotationMiningCOVID-19 patientsHealthcare servicesConcatenationHealthcare deliveryDelugeOntologyMachineConcept