2015
WebDISCO: a web service for distributed cox model learning without patient-level data sharing
Lu C, Wang S, Ji Z, Wu Y, Xiong L, Jiang X, Ohno-Machado L. WebDISCO: a web service for distributed cox model learning without patient-level data sharing. Journal Of The American Medical Informatics Association 2015, 22: 1212-1219. PMID: 26159465, PMCID: PMC5009917, DOI: 10.1093/jamia/ocv083.Peer-Reviewed Original Research
2008
Improving calibration of logistic regression models by local estimates.
Osl M, Ohno-Machado L, Baumgartner C, Tilg B, Dreiseitl S. Improving calibration of logistic regression models by local estimates. AMIA Annual Symposium Proceedings 2008, 2008: 535-9. PMID: 18998878, PMCID: PMC2656048.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsCalibrationCluster AnalysisData Interpretation, StatisticalLogistic ModelsProportional Hazards ModelsRegression AnalysisRisk Assessment
2007
Effects of SVM parameter optimization on discrimination and calibration for post-procedural PCI mortality
Matheny M, Resnic F, Arora N, Ohno-Machado L. Effects of SVM parameter optimization on discrimination and calibration for post-procedural PCI mortality. Journal Of Biomedical Informatics 2007, 40: 688-697. PMID: 17600771, PMCID: PMC2170520, DOI: 10.1016/j.jbi.2007.05.008.Peer-Reviewed Original ResearchConceptsSupport vector machineRadial Basis Kernel Support Vector MachineKernel support vector machineCross-entropy errorSVM parameter optimizationUnseen test dataSVM kernel typesTraining dataVector machineEvolutionary algorithmGrid searchMean squared errorKernel typeMachineOptimization methodPrediction modelNumber of methodsParameter optimizationTest dataMedical applicationsOptimization parametersMortality prediction modelAlgorithmBest modelApplications
2006
PROGNOSIS IN CRITICAL CARE
Ohno-Machado L, Resnic F, Matheny M. PROGNOSIS IN CRITICAL CARE. Annual Review Of Biomedical Engineering 2006, 8: 567-599. PMID: 16834567, DOI: 10.1146/annurev.bioeng.8.061505.095842.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus Statements
2001
Modeling Medical Prognosis: Survival Analysis Techniques
Ohno-Machado L. Modeling Medical Prognosis: Survival Analysis Techniques. Journal Of Biomedical Informatics 2001, 34: 428-439. PMID: 12198763, DOI: 10.1006/jbin.2002.1038.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsMeSH KeywordsHumansLife TablesLogistic ModelsMedical InformaticsModels, StatisticalNeural Networks, ComputerPrognosisProportional Hazards ModelsSurvival Analysis
1997
A comparison of Cox proportional hazards and artificial neural network models for medical prognosis
Ohno-Machado L. A comparison of Cox proportional hazards and artificial neural network models for medical prognosis. Computers In Biology And Medicine 1997, 27: 55-65. PMID: 9055046, DOI: 10.1016/s0010-4825(96)00036-4.Peer-Reviewed Original ResearchMeSH KeywordsAcquired Immunodeficiency SyndromeDisease ProgressionHumansNeural Networks, ComputerPrognosisProportional Hazards ModelsSoftwareSurvival AnalysisConceptsCox proportional hazardsCox modelDisease progressionProportional hazardsCox proportional hazards modelDiagnosis of AIDSProportional hazards modelNegative predictive valuePrognostic accuracyIndividual patientsStudy populationPrognostic toolHazards modelPredictive valuePatientsPrognosisAIDSCharacteristic curveMedical prognosisProgressionPractice of medicineAccurate assessment
1995
A comparison of two computer-based prognostic systems for AIDS.
Ohno-Machado L, Musen M. A comparison of two computer-based prognostic systems for AIDS. AMIA Annual Symposium Proceedings 1995, 737-41. PMID: 8563387, PMCID: PMC2579191.Peer-Reviewed Original ResearchMeSH KeywordsAcquired Immunodeficiency SyndromeComputer SimulationDisease ProgressionHIV InfectionsHumansNeural Networks, ComputerPrognosisProportional Hazards ModelsSurvival AnalysisConceptsCox modelPredictive valueCox proportional hazards modelDiagnosis of AIDSThree-year survivalProportional hazards modelCohort of peopleNegative predictive valuePositive predictive valueDisease progressionPrognostic accuracyStudy populationHazards modelIndividualized estimatesPrognostic toolProbability of survivalPatientsAIDSPrognostic systemCohortFirst yearDiagnosisDeathSurvivalYears