Using natural language processing to generate a large-scale database of aortic stenosis with long-term follow-up: the CASPER (cogstack aortic stenosis patient electronic registry) database
Wu J, Biswas D, Seale T, Bean D, Fairhurst N, Kaye G, Dobson R, Chowienczyk P, Shah A, O'gallagher K. Using natural language processing to generate a large-scale database of aortic stenosis with long-term follow-up: the CASPER (cogstack aortic stenosis patient electronic registry) database. European Heart Journal 2023, 44: ehad655.2952. DOI: 10.1093/eurheartj/ehad655.2952.Peer-Reviewed Original ResearchNatural language processingElectronic heath recordsLanguage processingData pipelineNatural language processing toolkitRetrieval systemProcessing toolkitSNOMED termsClinical notesAutomated detectionRandomised controlled trialsManual validationLong-term mortality dataCohort of AS patientsMortality dataData sourcesSocial deprivationPatient trajectoriesInfluence of ethnicityControlled trialsPatient demographic dataRandomised trialsExtract dataDatabaseDemographic data