2012
Doubly Optimized Calibrated Support Vector Machine (DOC-SVM): An Algorithm for Joint Optimization of Discrimination and Calibration
Jiang X, Menon A, Wang S, Kim J, Ohno-Machado L. Doubly Optimized Calibrated Support Vector Machine (DOC-SVM): An Algorithm for Joint Optimization of Discrimination and Calibration. PLOS ONE 2012, 7: e48823. PMID: 23139819, PMCID: PMC3490990, DOI: 10.1371/journal.pone.0048823.Peer-Reviewed Original ResearchA 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 Research
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
2004
Prediction of mortality in an Indian intensive care unit
Nimgaonkar A, Karnad D, Sudarshan S, Ohno-Machado L, Kohane I. Prediction of mortality in an Indian intensive care unit. Intensive Care Medicine 2004, 30: 248-253. PMID: 14727015, DOI: 10.1007/s00134-003-2105-4.Peer-Reviewed Original ResearchConceptsNeural networkIndian data setAPACHE IIArtificial neural network modelBack-propagation algorithmNeural network modelAnalysis of informationDay 1 APACHE II scoreIndian Intensive Care UnitsNetwork modelAPACHE II equationAPACHE II systemAPACHE II scoreIntensive care unitRisk of deathPrediction of mortalityNetworkHosmer-Lemeshow statisticData setsLogistic regression modelsHospital outcomesII scoreCare unitUniversity HospitalConsecutive admissions
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 comfortPatients
2000
Using electronic data to predict the probability of true bacteremia from positive blood cultures.
Wang S, Kuperman G, Ohno-Machado L, Onderdonk A, Sandige H, Bates D. Using electronic data to predict the probability of true bacteremia from positive blood cultures. AMIA Annual Symposium Proceedings 2000, 893-7. PMID: 11080013, PMCID: PMC2243892.Peer-Reviewed Original ResearchConceptsPositive blood culturesClinical prediction ruleBlood culturesTreatment decisionsTrue bacteremiaCulture resultsPositive blood culture resultsPrediction rulePaper chart reviewProbability of bacteremiaBlood culture resultsInfectious disease expertsAppropriate treatment decisionsLogistic regression modelsRevalidation studyChart reviewDisease expertsOne-year periodBacteremiaPhysiciansRegression modelsTrue positivesPatientsHospitalHousestaff
1993
AIDS2: a decision-support tool for decreasing physicians' uncertainty regarding patient eligibility for HIV treatment protocols.
Ohno-Machado L, Parra E, Henry S, Tu S, Musen M. AIDS2: a decision-support tool for decreasing physicians' uncertainty regarding patient eligibility for HIV treatment protocols. AMIA Annual Symposium Proceedings 1993, 429-33. PMID: 8130510, PMCID: PMC2248545.Peer-Reviewed Original Research