2023
Representing and utilizing clinical textual data for real world studies: An OHDSI approach
Keloth V, Banda J, Gurley M, Heider P, Kennedy G, Liu H, Liu F, Miller T, Natarajan K, V Patterson O, Peng Y, Raja K, Reeves R, Rouhizadeh M, Shi J, Wang X, Wang Y, Wei W, Williams A, Zhang R, Belenkaya R, Reich C, Blacketer C, Ryan P, Hripcsak G, Elhadad N, Xu H. Representing and utilizing clinical textual data for real world studies: An OHDSI approach. Journal Of Biomedical Informatics 2023, 142: 104343. PMID: 36935011, PMCID: PMC10428170, DOI: 10.1016/j.jbi.2023.104343.Peer-Reviewed Original ResearchConceptsNatural language processingCommon data modelTextual dataNLP solutionObservational Health Data SciencesOMOP Common Data ModelSpecific use casesObservational Medical Outcomes Partnership Common Data ModelHealth Data SciencesRepresentation of informationUse casesElectronic health recordsReal-world evidence generationData scienceClinical textData modelClinical notesLanguage processingHealth recordsLoad dataClinical documentationCurrent applicationsInformationWorkflowEvidence generation
2020
Mining 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