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
2011
A permutation test approach to the choice of size k for the nearest neighbors classifier
Lai Y, Wu B, Zhao H. A permutation test approach to the choice of size k for the nearest neighbors classifier. Journal Of Applied Statistics 2011, 38: 2289-2302. DOI: 10.1080/02664763.2010.547565.Peer-Reviewed Original ResearchNearest neighbor classifierNeighbor classifierReal-world data setsCross-validation approachPrediction accuracyStatistical pattern recognitionHigh prediction accuracyMachine learningNumber of neighborsPattern recognitionMultiple sample groupsInformative featuresNumber of NNsSize k.Size kData setsClassifierPopular methodCross-validation procedureTest approachClassificationAccuracyLearningNeighborsNN