2002
Logistic regression and artificial neural network classification models: a methodology review
Dreiseitl S, Ohno-Machado L. Logistic regression and artificial neural network classification models: a methodology review. Journal Of Biomedical Informatics 2002, 35: 352-359. PMID: 12968784, DOI: 10.1016/s1532-0464(03)00034-0.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsMeSH KeywordsClassificationLogistic ModelsModels, TheoreticalNerve NetOrganization and AdministrationRegression AnalysisConceptsMedical data classification tasksNeural network classification modelArtificial neural network (ANN) classification modelData classification tasksNetwork classification modelArtificial neural networkArtificial neural network modelNeural network modelClassification taskNeural networkClassification modelNetwork modelTechnical pointMachineAlgorithmNetworkTaskQuality criteriaModelMethodology reviewSample of papers
1998
Building manageable rough set classifiers.
Ohrn A, Ohno-Machado L, Rowland T. Building manageable rough set classifiers. AMIA Annual Symposium Proceedings 1998, 543-7. PMID: 9929278, PMCID: PMC2232320.Peer-Reviewed Original ResearchMeSH KeywordsClassificationData Interpretation, StatisticalDatabases, FactualDecision Support TechniquesFuzzy LogicROC CurveConceptsReal-world medical datasetsRule-based classifierRough set classifierRough set theoryKnowledge discoveryData miningMedical datasetsBoolean reasoningSet classifierSet theoryClassifierBetter performanceSmall modelsMiningAvailable informationDatasetReasoningInteresting aspectsModelCapabilityInformationSetInspectionRulesPerformance
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