2007
Risk-adjusted sequential probability ratio test control chart methods for monitoring operator and institutional mortality rates in interventional cardiology
Matheny M, Ohno-Machado L, Resnic F. Risk-adjusted sequential probability ratio test control chart methods for monitoring operator and institutional mortality rates in interventional cardiology. American Heart Journal 2007, 155: 114-120. PMID: 18082501, DOI: 10.1016/j.ahj.2007.08.022.Peer-Reviewed Original Research
2003
A nationwide adaptive prediction tool for coronary heart disease prevention.
Holt T, Ohno-Machado L. A nationwide adaptive prediction tool for coronary heart disease prevention. British Journal Of General Practice 2003, 53: 866-70. PMID: 14702907, PMCID: PMC1314730.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsMeSH KeywordsAdultAgedCoronary DiseaseFamily PracticeFemaleHumansMaleMiddle AgedPredictive Value of TestsPrimary PreventionRisk AssessmentConceptsAdditional cardiovascular risk factorsCardiovascular risk factor dataCoronary heart disease preventionCardiovascular risk profileCardiovascular risk factorsHeart disease preventionRisk factor dataCardiovascular disease developmentHigh-risk individualsPrimary care deliveryPrimary prevention interventionsRisk modificationPrimary careRisk factorsPrevention interventionsDisease preventionCare deliveryRisk profileRisk patternsFeedback of dataDisease developmentInterventionPopulation levelFactor dataLong term
2001
Vascular closure devices and the risk of vascular complications after percutaneous coronary intervention in patients receiving glycoprotein IIb-IIIa inhibitors
Resnic F, Blake G, Ohno-Machado L, Selwyn A, Popma J, Rogers C. Vascular closure devices and the risk of vascular complications after percutaneous coronary intervention in patients receiving glycoprotein IIb-IIIa inhibitors. The American Journal Of Cardiology 2001, 88: 493-496. PMID: 11524056, DOI: 10.1016/s0002-9149(01)01725-8.Peer-Reviewed Original ResearchMeSH KeywordsAge DistributionAgedAnalysis of VarianceAneurysm, FalseAngioplasty, Balloon, CoronaryAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedArteriovenous FistulaChi-Square DistributionCoronary DiseaseCoronary Vessel AnomaliesCoronary VesselsEquipment SafetyFemaleHematomaHumansIncidenceMaleMiddle AgedMultivariate AnalysisMyocardial InfarctionProbabilityRetrospective StudiesRisk AssessmentRisk FactorsSex DistributionConceptsPercutaneous coronary interventionVascular closure deviceGlycoprotein IIb-IIIa antagonistsVascular complication ratesVascular complicationsClosure deviceCoronary interventionComplication rateLower vascular complication ratesOverall vascular complication rateGlycoprotein IIb-IIIa inhibitorsIIb-IIIa inhibitorsSubgroup of patientsLength of stayHospital stayConsecutive patientsLarge hematomaSurgical repairArteriovenous fistulaPatient populationUnivariate analysisRetrospective analysisComplicationsPatient comfortPatientsSimplified risk score models accurately predict the risk of major in-hospital complications following percutaneous coronary intervention
Resnic F, Ohno-Machado L, Selwyn A, Simon D, Popma J. Simplified risk score models accurately predict the risk of major in-hospital complications following percutaneous coronary intervention. The American Journal Of Cardiology 2001, 88: 5-9. PMID: 11423050, DOI: 10.1016/s0002-9149(01)01576-4.Peer-Reviewed Original ResearchMeSH KeywordsAngioplasty, Balloon, CoronaryCardiopulmonary BypassCoronary DiseaseFemaleHospital MortalityHumansLogistic ModelsMaleMiddle AgedMyocardial InfarctionNeural Networks, ComputerPostoperative ComplicationsPredictive Value of TestsPrognosisProspective StudiesRisk AssessmentRisk FactorsROC CurveConceptsPercutaneous coronary interventionRisk score modelHospital complicationsCoronary interventionScore modelGlycoprotein IIb/IIIa antagonistsIIb/IIIa antagonistsMultiple logistic regression modelBedside risk stratificationCombined end pointUse of stentsMultiple logistic modelLogistic regression modelsBypass surgeryRisk stratificationSingle centerDecreased riskMyocardial infarctionRisk factorsComplicationsInterventional proceduresEnd pointLogistic regressionLogistic modelROC curve
2000
Major complications after angioplasty in patients with chronic renal failure: a comparison of predictive models.
Lacson R, Ohno-Machado L. Major complications after angioplasty in patients with chronic renal failure: a comparison of predictive models. AMIA Annual Symposium Proceedings 2000, 457-61. PMID: 11079925, PMCID: PMC2243840.Peer-Reviewed Original ResearchConceptsPercutaneous transluminal coronary angioplastyEnd-stage renal diseaseChronic renal failureMajor complicationsRenal failureCongestive heart failurePatient risk factorsTransluminal coronary angioplastyLogistic regression modelsCoronary angioplastyHeart failureRenal diseasePoor outcomeMyocardial infarctionRisk factorsPrior historyPresence of shockComplicationsLogistic regressionPatientsDiscriminatory abilityDemographic characteristicsAngioplastyRegression modelsStandard logistic regression model
1997
Sequential versus standard neural networks for pattern recognition: An example using the domain of coronary heart disease
Ohno-Machado L, Musen M. Sequential versus standard neural networks for pattern recognition: An example using the domain of coronary heart disease. Computers In Biology And Medicine 1997, 27: 267-281. PMID: 9303265, DOI: 10.1016/s0010-4825(97)00008-5.Peer-Reviewed Original ResearchMeSH KeywordsAdultAge FactorsAlgorithmsArea Under CurveBlood PressureBody WeightCause of DeathCholesterolCoronary DiseaseDatabases as TopicDemographyDisease ProgressionDisease-Free SurvivalEvaluation Studies as TopicFollow-Up StudiesForecastingHumansMaleMiddle AgedModels, CardiovascularNeural Networks, ComputerOutcome Assessment, Health CarePattern Recognition, AutomatedPrognosisROC CurveSmokingSurvival AnalysisTime FactorsConceptsNeural network modelNeural networkSequential neural network modelsTime-oriented dataNetwork modelNeural network architectureStandard neural networkSequential neural networkNeural network systemRecognition of patternsNetwork architecturePattern recognitionUnseen casesNetwork systemTest setSingle pointResearch data basesData basesNetworkMedical researchersSuch modelsRecognitionBackpropagationSetArchitecture