2024
StrokeClassifier: ischemic stroke etiology classification by ensemble consensus modeling using electronic health records
Lee H, Schwamm L, Sansing L, Kamel H, de Havenon A, Turner A, Sheth K, Krishnaswamy S, Brandt C, Zhao H, Krumholz H, Sharma R. StrokeClassifier: ischemic stroke etiology classification by ensemble consensus modeling using electronic health records. Npj Digital Medicine 2024, 7: 130. PMID: 38760474, PMCID: PMC11101464, DOI: 10.1038/s41746-024-01120-w.Peer-Reviewed Original ResearchElectronic health recordsWeighted F1MIMIC-IIIClinical decision support systemsMulti-class classificationNatural language processingMIMIC-III datasetHealth recordsMachine learning classifiersDecision support systemArtificial intelligence toolsVascular neurologistsLearning classifiersBinary classificationCross-validation accuracyLanguage processingMeta-modelIntelligence toolsStroke prevention effortsAcute ischemic strokeStroke etiologySupport systemStroke etiology classificationClassification toolClassifier
2022
Trends in characteristics of neurologists who provide stroke consultations in the USA, 2008–2021
Nakamoto C, Wilcock A, Schwamm L, Majersik J, Zachrison K, Mehrotra A. Trends in characteristics of neurologists who provide stroke consultations in the USA, 2008–2021. Stroke And Vascular Neurology 2022, 8: 86-88. PMID: 35902139, PMCID: PMC9985800, DOI: 10.1136/svn-2022-001662.Peer-Reviewed Original ResearchConceptsAcute ischemic strokeTransient ischemic attackVascular neurologistsPatient's homeAIS/transient ischemic attackHigh-volume providersNeurologist consultationTIA episodesIschemic attackIschemic strokeStroke consultationsNeurologistsService MedicarePhysician practicesStudy periodConsultsPatientsEpisodesConsultationHomeHospitalStrokeProportion