2022
Epidemiology of atrial fibrillation in the All of Us Research Program
Alonso A, Alam A, Kamel H, Subbian V, Qian J, Boerwinkle E, Cicek M, Clark C, Cohn E, Gebo K, Loperena-Cortes R, Mayo K, Mockrin S, Ohno-Machado L, Schully S, Ramirez A, Greenland P. Epidemiology of atrial fibrillation in the All of Us Research Program. PLOS ONE 2022, 17: e0265498. PMID: 35294480, PMCID: PMC8926244, DOI: 10.1371/journal.pone.0265498.Peer-Reviewed Original ResearchConceptsAtrial fibrillationNon-Hispanic whitesUs Research ProgramRisk factorsEpidemiology of AFIncidence of AFPresence of AFHigher body mass indexStudy of AFClinical risk factorsIncident atrial fibrillationCoronary heart diseaseBody mass indexElectronic health record dataMedical history dataMedical history surveyNon-Hispanic blacksHealth record dataAvailable EHR dataNon-Hispanic AsiansHeart failureStudy enrollmentMass indexEligible participantsMean age
2020
Privacy challenges and research opportunities for genomic data sharing
Bonomi L, Huang Y, Ohno-Machado L. Privacy challenges and research opportunities for genomic data sharing. Nature Genetics 2020, 52: 646-654. PMID: 32601475, PMCID: PMC7761157, DOI: 10.1038/s41588-020-0651-0.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsActive Surveillance of the Implantable Cardioverter-Defibrillator Registry for Defibrillator Lead Failures
Resnic F, Majithia A, Dhruva S, Ssemaganda H, Robbins S, Marinac-Dabic D, Hewitt K, Ohno-Machado L, Reynolds M, Matheny M. Active Surveillance of the Implantable Cardioverter-Defibrillator Registry for Defibrillator Lead Failures. Circulation Cardiovascular Quality And Outcomes 2020, 13: e006105. PMID: 32283971, PMCID: PMC7360169, DOI: 10.1161/circoutcomes.119.006105.Peer-Reviewed Original ResearchConceptsICD RegistryLead failureActive surveillanceNational Cardiovascular Data Registry ICD RegistryImplantable Cardioverter-Defibrillator RegistryPrimary safety end pointPropensity-matched survival analysisRate of freedomSafety end pointLead failure rateLong-term safetySignificant patient harmDefibrillator lead failureEarly lead failureMonitoring of safetyComparator patientsContemporary ICDLead survivalMeaningful differencesOutcome ascertainmentFailure rateNew ICDPatient harmPatientsSurvival analysisA tutorial on calibration measurements and calibration models for clinical prediction models
Huang Y, Li W, Macheret F, Gabriel R, Ohno-Machado L. A tutorial on calibration measurements and calibration models for clinical prediction models. Journal Of The American Medical Informatics Association 2020, 27: 621-633. PMID: 32106284, PMCID: PMC7075534, DOI: 10.1093/jamia/ocz228.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus Statements
2018
Infections and Cardiovascular Complications are Common Causes for Hospitalization in Older Patients with Inflammatory Bowel Diseases
Nguyen N, Ohno-Machado L, Sandborn W, Singh S. Infections and Cardiovascular Complications are Common Causes for Hospitalization in Older Patients with Inflammatory Bowel Diseases. Inflammatory Bowel Diseases 2018, 24: 916-923. PMID: 29562273, DOI: 10.1093/ibd/izx089.Peer-Reviewed Original ResearchConceptsInflammatory bowel diseaseOlder patientsYounger patientsAnnual burdenNationwide Readmissions Database 2013Treatment-related complicationsDisease-related complicationsCause of hospitalizationRepresentative cohort studyCohort studyBowel diseaseHigh riskPatientsMore daysHospitalizationComplicationsBurdenCauseRehospitalizationHospitalTherapyCohortPrevalenceDisease
2017
A risk prediction score for acute kidney injury in the intensive care unit
Malhotra R, Kashani K, Macedo E, Kim J, Bouchard J, Wynn S, Li G, Ohno-Machado L, Mehta R. A risk prediction score for acute kidney injury in the intensive care unit. Nephrology Dialysis Transplantation 2017, 32: 814-822. PMID: 28402551, DOI: 10.1093/ndt/gfx026.Peer-Reviewed Original ResearchConceptsAcute kidney injuryIntensive care unitAcute risk factorsRisk score modelICU admissionKidney injuryCare unitValidation cohortKidney diseaseRisk factorsTest cohortTreatment of AKIAtherosclerotic coronary vascular diseaseMulticenter prospective cohort studyGlobal Outcomes criteriaChronic kidney diseaseHigh-risk patientsProspective cohort studyChronic liver diseaseCongestive heart failureTime of screeningCoronary vascular diseaseRisk prediction scoreEarly therapeutic interventionExternal validation cohort
2012
A patient-driven adaptive prediction technique to improve personalized risk estimation for clinical decision support
Jiang X, Boxwala A, El-Kareh R, Kim J, Ohno-Machado L. A patient-driven adaptive prediction technique to improve personalized risk estimation for clinical decision support. Journal Of The American Medical Informatics Association 2012, 19: e137-e144. PMID: 22493049, PMCID: PMC3392846, DOI: 10.1136/amiajnl-2011-000751.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsConfidence IntervalsDecision Support TechniquesHumansProbabilityRisk Assessment
2010
Automating pressure ulcer risk assessment using documented patient data
Kim H, Choi J, Thompson S, Meeker L, Dykes P, Goldsmith D, Ohno-Machado L. Automating pressure ulcer risk assessment using documented patient data. International Journal Of Medical Informatics 2010, 79: 840-848. PMID: 20869303, DOI: 10.1016/j.ijmedinf.2010.08.005.Peer-Reviewed Original ResearchBuilding an ontology for pressure ulcer risk assessment to allow data sharing and comparisons across hospitals.
Kim H, Choi J, Secalag L, Dibsie L, Boxwala A, Ohno-Machado L. Building an ontology for pressure ulcer risk assessment to allow data sharing and comparisons across hospitals. AMIA Annual Symposium Proceedings 2010, 2010: 382-6. PMID: 21347005, PMCID: PMC3041354.Peer-Reviewed Original Research
2009
Is there an advantage in scoring early embryos on more than one day?
Racowsky C, Ohno-Machado L, Kim J, Biggers J. Is there an advantage in scoring early embryos on more than one day? Human Reproduction 2009, 24: 2104-2113. PMID: 19493872, PMCID: PMC2727402, DOI: 10.1093/humrep/dep198.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 Research
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
2005
The use of receiver operating characteristic curves in biomedical informatics
Lasko T, Bhagwat J, Zou K, Ohno-Machado L. The use of receiver operating characteristic curves in biomedical informatics. Journal Of Biomedical Informatics 2005, 38: 404-415. PMID: 16198999, DOI: 10.1016/j.jbi.2005.02.008.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsDiscrimination and calibration of mortality risk prediction models in interventional cardiology
Matheny M, Ohno-Machado L, Resnic F. Discrimination and calibration of mortality risk prediction models in interventional cardiology. Journal Of Biomedical Informatics 2005, 38: 367-375. PMID: 16198996, DOI: 10.1016/j.jbi.2005.02.007.Peer-Reviewed Original ResearchMeSH KeywordsAngioplasty, Balloon, CoronaryCalibrationCardiologyComorbidityDecision Support Systems, ClinicalDiagnosis, Computer-AssistedDiscriminant AnalysisExpert SystemsHumansIncidenceOutcome Assessment, Health CarePostoperative ComplicationsPrognosisRetrospective StudiesRisk AssessmentRisk FactorsROC CurveSurvival AnalysisSurvival RateUnited StatesConceptsLocal risk modelAcute myocardial infarctionHosmer-Lemeshow goodnessRisk prediction modelRisk factorsCardiology-National Cardiovascular Data RegistryConsecutive percutaneous coronary interventionsMortality risk prediction modelPercutaneous coronary interventionMultivariate risk factorsCertain risk factorsROC curveAccurate risk predictionIndividual casesGood discriminationCardiogenic shockHospital mortalityCoronary interventionUnstable anginaArtery interventionPatient populationMyocardial infarctionRisk modelElective proceduresWomen's HospitalA global goodness-of-fit test for receiver operating characteristic curve analysis via the bootstrap method
Zou K, Resnic F, Talos I, Goldberg-Zimring D, Bhagwat J, Haker S, Kikinis R, Jolesz F, Ohno-Machado L. A global goodness-of-fit test for receiver operating characteristic curve analysis via the bootstrap method. Journal Of Biomedical Informatics 2005, 38: 395-403. PMID: 16198998, DOI: 10.1016/j.jbi.2005.02.004.Peer-Reviewed Original ResearchAdolescentAdultAlgorithmsAngioplasty, Balloon, CoronaryBrain NeoplasmsCalibrationData Interpretation, StatisticalDecision Support Systems, ClinicalDiagnosis, Computer-AssistedDiscriminant AnalysisExpert SystemsFemaleHumansIncidenceMaleMiddle AgedOutcome Assessment, Health CarePrognosisRisk AssessmentRisk FactorsROC CurveSurvival AnalysisSurvival RateUnited States
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
Risk stratification in heart failure using artificial neural networks.
Atienza F, Martinez-Alzamora N, De Velasco J, Dreiseitl S, Ohno-Machado L. Risk stratification in heart failure using artificial neural networks. AMIA Annual Symposium Proceedings 2000, 32-6. PMID: 11079839, PMCID: PMC2243942.Peer-Reviewed Original ResearchConceptsNeural network modelNeural networkNetwork modelMedical classification problemsArtificial neural networkSimple neural networkHeart failureAutomatic relevance determination (ARD) methodClassification problemRisk stratificationOne-year event-free survivalOne-year prognosisEvent-free survivalAccurate risk stratificationHeart failure patientsComplex multisystem diseaseNetworkFailure patientsMultisystem diseaseResampling methodPatientsPrognosisOutcomesPredictorsFailure