2012
A collaborative framework for Distributed Privacy-Preserving Support Vector Machine learning.
Que J, Jiang X, Ohno-Machado L. A collaborative framework for Distributed Privacy-Preserving Support Vector Machine learning. AMIA Annual Symposium Proceedings 2012, 2012: 1350-9. PMID: 23304414, PMCID: PMC3540462.Peer-Reviewed Original ResearchMeSH KeywordsArtificial IntelligenceComputer Communication NetworksConfidentialityCooperative BehaviorDecision Support TechniquesHumansInternetPrivacyProgramming LanguagesSupport Vector MachineConceptsSupport vector machineVector machinePrivacy-preserving collaborative learningSensitive raw dataPrivacy-preserving mannerEfficient information exchangeDistributed PrivacyLocal repositoryPrivacy concernsCentralized repositoryCollaborative frameworkDecision supportMultiple participantsInformation exchangeRaw dataSVM modelIntermediary resultsMachineCollaborative learningPrivacyPopular toolRepositoryTraditional wayPatient dataServerAn improved model for predicting postoperative nausea and vomiting in ambulatory surgery patients using physician-modifiable risk factors
Sarin P, Urman R, Ohno-Machado L. An improved model for predicting postoperative nausea and vomiting in ambulatory surgery patients using physician-modifiable risk factors. Journal Of The American Medical Informatics Association 2012, 19: 995-1002. PMID: 22582204, PMCID: PMC3534465, DOI: 10.1136/amiajnl-2012-000872.Peer-Reviewed Original ResearchConceptsAmbulatory surgery dataExperimental modelNon-modifiable patient characteristicsApfel risk scoreAmbulatory surgery patientsGood calibrationLogistic regression modelsAmbulatory surgery casesPONV prophylaxisPostoperative nauseaFrequent complicationPatient characteristicsSurgery patientsAnesthetic techniqueAmbulatory surgeryPatient riskRisk factorsSurgery casesAnaesthetic practiceRisk scoreAcademic centersSurgery dataPractice improvementNauseaVomitingA 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
2008
Validation of an Automated Safety Surveillance System with Prospective, Randomized Trial Data
Matheny M, Morrow D, Ohno-Machado L, Cannon C, Sabatine M, Resnic F. Validation of an Automated Safety Surveillance System with Prospective, Randomized Trial Data. Medical Decision Making 2008, 29: 247-256. PMID: 19015285, PMCID: PMC2743924, DOI: 10.1177/0272989x08327110.Peer-Reviewed Original ResearchMeSH KeywordsBayes TheoremData Interpretation, StatisticalDecision Support TechniquesFibrinolytic AgentsHumansIntracranial HemorrhagesMulticenter Studies as TopicMyocardial InfarctionRandomized Controlled Trials as TopicReproducibility of ResultsRetrospective StudiesSafety ManagementSentinel SurveillanceConceptsIntervention armMortality rateEvent ratesTrial BTrial AMajor bleeding ratesOutcomes Surveillance SystemIntracranial hemorrhage rateCumulative event rateRandomized trial dataEvent-rate analysisSafety surveillance systemSurveillance systemAdverse eventsMulticenter trialHemorrhage rateMonth 14Bleeding rateControl armClinical trialsTrial B.Trial dataTrialsObserved event ratesMonths
2005
Development of radiology prediction models using feature analysis1
Carrino J, Ohno-Machado L. Development of radiology prediction models using feature analysis1. Academic Radiology 2005, 12: 415-421. PMID: 15831414, DOI: 10.1016/j.acra.2005.01.009.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsData mining techniques
2002
Open source handheld-based EMR for paramedics working in rural areas.
Anantraman V, Mikkelsen T, Khilnani R, Kumar V, Pentland A, Ohno-Machado L. Open source handheld-based EMR for paramedics working in rural areas. AMIA Annual Symposium Proceedings 2002, 12-6. PMID: 12463777, PMCID: PMC2244537.Peer-Reviewed Original Research
2000
Building knowledge in a complex preterm birth problem domain.
Goodwin L, Maher S, Ohno-Machado L, Iannacchione M, Crockett P, Dreiseitl S, Vinterbo S, Hammond W. Building knowledge in a complex preterm birth problem domain. AMIA Annual Symposium Proceedings 2000, 305-9. PMID: 11079894, PMCID: PMC2243761.Peer-Reviewed Original ResearchGLIF3: the evolution of a guideline representation format.
Peleg M, Boxwala A, Ogunyemi O, Zeng Q, Tu S, Lacson R, Bernstam E, Ash N, Mork P, Ohno-Machado L, Shortliffe E, Greenes R. GLIF3: the evolution of a guideline representation format. AMIA Annual Symposium Proceedings 2000, 645-9. PMID: 11079963, PMCID: PMC2243832.Peer-Reviewed Original ResearchMeSH KeywordsDecision Support TechniquesPractice Guidelines as TopicProgramming LanguagesSoftware DesignConceptsGuideline Interchange FormatInstitutional information systemsComputable specificationImplementable specificationInterchange formatAutomatic inferenceRepresentation formatStructured representationText stringsInformation systemsStructured constructsGLIF3Action specificationFormal definitionConceptual flowchartExecutionSpecificationPatient dataStructured stepsLogical consistencyNew versionFormatNew constructDecision criteriaFlowchart
1999
The decision systems group: creating a framework for decision making.
Greenes R, Boxwala A, Ohno-Machado L. The decision systems group: creating a framework for decision making. M.D. Computing 1999, 16: 23-7. PMID: 10507232.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus Statements
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 ResearchBuilding manageable rough set classifiers.
Ohrn A, Ohno-Machado L, Rowland T. Building manageable rough set classifiers. AMIA Annual Symposium Proceedings 1998, 543-7. PMID: 9929278, PMCID: PMC2232320.Peer-Reviewed Original ResearchMeSH KeywordsClassificationData Interpretation, StatisticalDatabases, FactualDecision Support TechniquesFuzzy LogicROC CurveConceptsReal-world medical datasetsRule-based classifierRough set classifierRough set theoryKnowledge discoveryData miningMedical datasetsBoolean reasoningSet classifierSet theoryClassifierBetter performanceSmall modelsMiningAvailable informationDatasetReasoningInteresting aspectsModelCapabilityInformationSetInspectionRulesPerformance
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