Development and validation of a model predicting mild stroke severity on admission using electronic health record data
Waddell K, Myers L, Perkins A, Sico J, Sexson A, Burrone L, Taylor S, Koo B, Daggy J, Bravata D. Development and validation of a model predicting mild stroke severity on admission using electronic health record data. Journal Of Stroke And Cerebrovascular Diseases 2023, 32: 107255. PMID: 37473533, DOI: 10.1016/j.jstrokecerebrovasdis.2023.107255.Peer-Reviewed Original ResearchMeSH KeywordsElectronic Health RecordsHumansIschemic StrokeLogistic ModelsSeverity of Illness IndexStrokeConceptsInitial stroke severityStroke severityElectronic health record dataHealth record dataSevere strokeIschemic strokeStroke careSample patientsMortality risk stratificationRecord dataVeterans Affairs hospitalMild stroke severityMultiple logistic regressionObservational cohortStroke outcomeIndependent predictorsRisk stratificationEHR data elementsPrimary analysisLogistic regressionStrokeValidation sampleSeverityPotent modifierEHR data