2011
Feasibility Evaluation of Smart Stretcher to Improve Patient Safety during Transfers
Ohashi K, Kurihara Y, Watanabe K, Ohno-Machado L, Tanaka H. Feasibility Evaluation of Smart Stretcher to Improve Patient Safety during Transfers. Methods Of Information In Medicine 2011, 50: 253-264. PMID: 21057715, DOI: 10.3414/me0616.Peer-Reviewed Original ResearchMeSH KeywordsApneaBedsEvaluation Studies as TopicFeasibility StudiesFemaleHumansMaleMedical ErrorsPatient TransferSafety ManagementWireless TechnologyConceptsSmart StretcherWireless networksIntelligent alarm systemWireless sensor networksNetwork-based systemZigBee wireless networkVital sign sensorsSensor networksRFID technologyIndoor positioning systemPatient IDPatient identification systemPatient's vital signsIdentification systemSimulated hospital environmentReal timeAlarm systemType pressure sensorApnea detectionFeasibility experimentsNetworkPressure sensorPositioning systemTechnical feasibility studySubjective evaluation
1999
Evaluating variable selection methods for diagnosis of myocardial infarction.
Dreiseitl S, Ohno-Machado L, Vinterbo S. Evaluating variable selection methods for diagnosis of myocardial infarction. AMIA Annual Symposium Proceedings 1999, 246-50. PMID: 10566358, PMCID: PMC2232647.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsArtificial IntelligenceChest PainDiagnosis, Computer-AssistedEvaluation Studies as TopicHumansLogistic ModelsMathematicsMyocardial InfarctionNeural Networks, ComputerConceptsMachine-learning techniquesBayesian neural networksNeural networkMultilayer perceptronRough setsVariable selection methodsSelection methodInput variablesVariable selectionInfarction dataBackpropagationPerceptronMyocardial infarction dataDifferent subsetsAlgorithmNetworkMethodSetDifferent methodsA genetic algorithm to select variables in logistic regression: example in the domain of myocardial infarction.
Vinterbo S, Ohno-Machado L. A genetic algorithm to select variables in logistic regression: example in the domain of myocardial infarction. AMIA Annual Symposium Proceedings 1999, 984-8. PMID: 10566508, PMCID: PMC2232877.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsChest PainEvaluation Studies as TopicGeneticsHumansLogistic ModelsModels, BiologicalMyocardial InfarctionROC CurveConceptsGenetic algorithmNumber of variablesVariable selection methodsGenetic algorithm variable selection methodSelection methodData setsAlgorithmVariable selectionBest variable combinationModel's discriminatory performanceModel simplicityActual useValidation setExternal validation setSetParticular selectionModel
1998
Comparison of multiple prediction models for ambulation following spinal cord injury.
Rowland T, Ohno-Machado L, Ohrn A. Comparison of multiple prediction models for ambulation following spinal cord injury. AMIA Annual Symposium Proceedings 1998, 528-32. PMID: 9929275, PMCID: PMC2232380.Peer-Reviewed Original Research
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