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
2021
Visual comprehension and orientation into the COVID-19 CIDO ontology
Zheng L, Perl Y, He Y, Ochs C, Geller J, Liu H, Keloth V. Visual comprehension and orientation into the COVID-19 CIDO ontology. Journal Of Biomedical Informatics 2021, 120: 103861. PMID: 34224898, PMCID: PMC8252699, DOI: 10.1016/j.jbi.2021.103861.Peer-Reviewed Original ResearchConceptsPartial-area taxonomyCoronavirus Infectious Disease OntologyCompact viewMedium sized ontologiesNames of nodesVisual patternsInfectious Disease OntologySummarization networkOntologyUsersVisual comprehensionDisease OntologyVisualizationNodesTaxonomyLayoutSummarizationGranularityNetworkCIDOConceptViews