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
2021
Fixing Bias in Reconstruction-based Anomaly Detection with Lipschitz Discriminators
Tong A, Wolf G, Krishnaswamy S. Fixing Bias in Reconstruction-based Anomaly Detection with Lipschitz Discriminators. Journal Of Signal Processing Systems 2021, 94: 229-243. DOI: 10.1007/s11265-021-01715-6.Peer-Reviewed Original ResearchAnomaly detectionTraining dataReconstruction-based anomaly detectionAutoencoder reconstruction errorDeep learning methodsReconstruction-based methodsOriginal data spaceGraph dataLearning methodsData spaceUnseen anomaliesReconstruction errorImproved performanceIrregular graphsTraining setHealth recordsHealth record dataWasserstein distanceLow errorDiscriminatorImagesCIFAR10MNISTUndesirable resultsRecord data