2015
VERTIcal Grid lOgistic regression (VERTIGO)
Li Y, Jiang X, Wang S, Xiong H, Ohno-Machado L. VERTIcal Grid lOgistic regression (VERTIGO). Journal Of The American Medical Informatics Association 2015, 23: 570-579. PMID: 26554428, PMCID: PMC4901373, DOI: 10.1093/jamia/ocv146.Peer-Reviewed Original ResearchConceptsFederated data analysisReal-world medical classification problemsMedical classification problemsLogistic regression algorithmAccurate global modelData setsReal data setsClassification problemExchange of informationLR problemTime complexityComputational complexityExpensive operationRegression algorithmComputational costData analysisAlgorithmDual optimizationTechnical challengesLarge amountComplexityPatient recordsLR modelNovel techniqueHessian matrixGrid multi-category response logistic models
Wu Y, Jiang X, Wang S, Jiang W, Li P, Ohno-Machado L. Grid multi-category response logistic models. BMC Medical Informatics And Decision Making 2015, 15: 10. PMID: 25886151, PMCID: PMC4342889, DOI: 10.1186/s12911-015-0133-y.Peer-Reviewed Original ResearchConceptsGrid modelLikelihood estimation problemClassification performance evaluationReal data setsGrid computingEstimation problemTypes of modelsGrid computationGrid methodPrivacyResponse modelCentralized modelMulti-center dataSuch decompositionsFit assessmentFitting methodLinear modelPerformance evaluationModel constructionData setsModel assumptionsIndividual observationsPractical solutionComputationResultsSimulation results
1994
Identification of low frequency patterns in backpropagation neural networks.
Ohno-Machado L. Identification of low frequency patterns in backpropagation neural networks. AMIA Annual Symposium Proceedings 1994, 853-9. PMID: 7950045, PMCID: PMC2247950.Peer-Reviewed Original ResearchConceptsHierarchical neural networkStandard neural networkNeural networkInfrequent patternsTriage NetworkNeural network systemBackpropagation neural networkSame time constraintsReal data setsConquer approachArtificial setNetworkSupersetTime constraintsData setsReal setSpecialized networksPrediction powerSetPattern similarityRare classPrior probabilityRecent yearsSystemFrequency patterns