2019
Protecting patient privacy in survival analyses
Bonomi L, Jiang X, Ohno-Machado L. Protecting patient privacy in survival analyses. Journal Of The American Medical Informatics Association 2019, 27: 366-375. PMID: 31750926, PMCID: PMC7025359, DOI: 10.1093/jamia/ocz195.Peer-Reviewed Original ResearchConceptsPrivacy protectionPrivacy risksHealthcare applicationsPatient privacyPrivacy protection methodProvable privacy protectionStrong privacy protectionPerson of interestKnowledgeable adversaryDifferential privacySynthetic datasetsFormal modelEpidemiology datasetPrivacyNonparametric survival modelFuture research directionsAdversaryResearch directionsDatasetBiomedical research applicationsFrameworkFrequent sharingResearch applicationsApplicationsSharing
2017
Developing a framework for digital objects in the Big Data to Knowledge (BD2K) commons: Report from the Commons Framework Pilots workshop
Jagodnik K, Koplev S, Jenkins S, Ohno-Machado L, Paten B, Schurer S, Dumontier M, Verborgh R, Bui A, Ping P, McKenna N, Madduri R, Pillai A, Ma'ayan A. Developing a framework for digital objects in the Big Data to Knowledge (BD2K) commons: Report from the Commons Framework Pilots workshop. Journal Of Biomedical Informatics 2017, 71: 49-57. PMID: 28501646, PMCID: PMC5545976, DOI: 10.1016/j.jbi.2017.05.006.Peer-Reviewed Original ResearchConceptsBig dataDigital objectsBig data scienceNIH Big DataDiversity of dataComputational infrastructureData scienceData sharingVirtual environmentSecure processK frameworkDiverse datasetsKnowledge initiativesKnowledge commonsSuch dataBiomedical researchObjectsInteroperabilityFrameworkDiscoverabilityRecent yearsSharingDatasetInfrastructurePilot project
2016
PRINCESS: Privacy-protecting Rare disease International Network Collaboration via Encryption through Software guard extensionS
Chen F, Wang S, Jiang X, Ding S, Lu Y, Kim J, Sahinalp S, Shimizu C, Burns J, Wright V, Png E, Hibberd M, Lloyd D, Yang H, Telenti A, Bloss C, Fox D, Lauter K, Ohno-Machado L. PRINCESS: Privacy-protecting Rare disease International Network Collaboration via Encryption through Software guard extensionS. Bioinformatics 2016, 33: 871-878. PMID: 28065902, PMCID: PMC5860394, DOI: 10.1093/bioinformatics/btw758.Peer-Reviewed Original ResearchConceptsSoftware Guard ExtensionsHomomorphic encryptionDistributed ComputationCollaboration frameworkTrustworthy computationCollaboration modelSupplementary dataNetwork collaborationEncryptionExperimental resultsHealth informationAlternative solutionComputationInternational collaboration frameworkHardwareAccurate analysisPerformanceBioinformaticsImplementationFrameworkDataExtensionInformationCollaborationSecure Multi-pArty Computation Grid LOgistic REgression (SMAC-GLORE)
Shi H, Jiang C, Dai W, Jiang X, Tang Y, Ohno-Machado L, Wang S. Secure Multi-pArty Computation Grid LOgistic REgression (SMAC-GLORE). BMC Medical Informatics And Decision Making 2016, 16: 89. PMID: 27454168, PMCID: PMC4959358, DOI: 10.1186/s12911-016-0316-1.Peer-Reviewed Original ResearchConceptsData sharingPatient privacySecure multi-party computationModel learning phaseMulti-party computationBiomedical data sharingInformation leakageModel learningIntermediary informationInformation exchangeSecondary usePrivacyBig concernPractical solutionLogistic regression frameworkExperimental resultsSharingRegression frameworkFrameworkMultiple institutionsPrevious workComputationLearningBiomedical researchInformationConsensus Statement on Electronic Health Predictive Analytics: A Guiding Framework to Address Challenges
Amarasingham R, Audet A, Bates D, Glenn Cohen I, Entwistle M, Escobar G, Liu V, Etheredge L, Lo B, Ohno-Machado L, Ram S, Saria S, Schilling L, Shahi A, Stewart W, Steyerberg E, Xie B. Consensus Statement on Electronic Health Predictive Analytics: A Guiding Framework to Address Challenges. Healthcare 2016, 4: 1163. PMID: 27141516, PMCID: PMC4837887, DOI: 10.13063/2327-9214.1163.Commentaries, Editorials and LettersPredictive analytics applicationsAnalytics applicationsPredictive analyticsData sharingData barriersPredictive model developmentElectronic health record dataCertification frameworkReal timeEfficient mannerModel developmentAvailable electronic health record dataHealth record dataList of recommendationsSystematic frameworkAlgorithmDiverse expertiseRecent explosionEarlier frameworkFramework
2013
EXpectation Propagation LOgistic REgRession (EXPLORER): Distributed privacy-preserving online model learning
Wang S, Jiang X, Wu Y, Cui L, Cheng S, Ohno-Machado L. EXpectation Propagation LOgistic REgRession (EXPLORER): Distributed privacy-preserving online model learning. Journal Of Biomedical Informatics 2013, 46: 480-496. PMID: 23562651, PMCID: PMC3676314, DOI: 10.1016/j.jbi.2013.03.008.Peer-Reviewed Original ResearchConceptsHigh-level guaranteesOnline model learningSensitive informationModel learningEntire dataOnline learningAbsence of participantsMore flexibilitySame performanceExperimental resultsLearningCommunicationServerInformationGuaranteesModel updatingPosterior distributionServicesClientsUpdatingFrameworkFlexibilityModelPerformance
2011
Quantifying fine-grained privacy risk and representativeness in medical data
Jiang X, Cheng S, Ohno-Machado L. Quantifying fine-grained privacy risk and representativeness in medical data. 2011, 64-67. DOI: 10.1145/2023582.2023594.Peer-Reviewed Original Research
2004
Exploration of a Bayesian Updating Methodology to Monitor the Safety of Interventional Cardiovascular Procedures
Resnic F, Zou K, Do D, Apostolakis G, Ohno-Machado L. Exploration of a Bayesian Updating Methodology to Monitor the Safety of Interventional Cardiovascular Procedures. Medical Decision Making 2004, 24: 399-407. PMID: 15271278, DOI: 10.1177/0272989x04267012.Peer-Reviewed Original ResearchConceptsConventional statistical methodsPrior probability distributionProbability distributionStatistical methodsBayesian updatingMedical device safety evaluationStable estimatesPatient risk groupsInterventional cardiology proceduresInterventional cardiovascular proceduresBayesianClinical outcomesPatient groupRotational atherectomyRisk groupsCardiovascular proceduresClinical practiceMethodologyCardiology proceduresEstimationEvent ratesSafety experienceEstimation of riskFrameworkNovel approach
2002
Visualization and evaluation of clusters for exploratory analysis of gene expression data
Kim J, Kohane I, Ohno-Machado L. Visualization and evaluation of clusters for exploratory analysis of gene expression data. Journal Of Biomedical Informatics 2002, 35: 25-36. PMID: 12415724, DOI: 10.1016/s1532-0464(02)00001-1.Peer-Reviewed Original ResearchConceptsClustering algorithmDifferent clustering algorithmsPopular clustering algorithmNew clustering algorithmComprehensive data visualizationGene expression data analysisData visualization strategiesExpression data analysisEvaluation of clustersData visualizationSoftware toolsCluster qualityCluster consistencyAlgorithmActual implementationData setsGene expression dataQuality measuresVisualizationPromising resultsFrameworkData analysisObjective evaluationUsersExpression data
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 StatementsA framework and tools for authoring, editing, documenting, sharing, searching, navigating, and executing computer-based clinical guidelines.
Greenes R, Boxwala A, Sloan W, Ohno-Machado L, Deibel S. A framework and tools for authoring, editing, documenting, sharing, searching, navigating, and executing computer-based clinical guidelines. AMIA Annual Symposium Proceedings 1999, 261-5. PMID: 10566361, PMCID: PMC2232593.Peer-Reviewed Original ResearchConceptsComputer-based clinical guidelineInterMed CollaboratoryAutomatic executionSoftware toolsGuideline representationDelivery networkInternet distributionSharingSpecificationXMLFrameworkGLIFNavigationExecutionCollaboratoryToolNetworkImplementationRepresentationSuiteEditingEligibility determinationDocumenting