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
2018
Perfectly Secure and Efficient Two-Party Electronic-Health-Record Linkage
Chen F, Jiang X, Wang S, Schilling L, Meeker D, Ong T, Matheny M, Doctor J, Ohno-Machado L, Vaidya J. Perfectly Secure and Efficient Two-Party Electronic-Health-Record Linkage. IEEE Internet Computing 2018, 22: 32-41. PMID: 29867290, PMCID: PMC5983039, DOI: 10.1109/mic.2018.112102542.Peer-Reviewed Original ResearchPrivacy-preserving record linkagePrivacy/security concernsRecord linkage solutionsApproximate matching mechanismsPatient health dataSecurity concernsMatching mechanismLinkage solutionsHealth recordsHealth dataRecord linkageSecureSharingFirst stepPersonalized careEfficientPortable methodHealth record linkageAccessPrecision medicineData
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
Genome privacy: challenges, technical approaches to mitigate risk, and ethical considerations in the United States
Wang S, Jiang X, Singh S, Marmor R, Bonomi L, Fox D, Dow M, Ohno‐Machado L. Genome privacy: challenges, technical approaches to mitigate risk, and ethical considerations in the United States. Annals Of The New York Academy Of Sciences 2016, 1387: 73-83. PMID: 27681358, PMCID: PMC5266631, DOI: 10.1111/nyas.13259.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsData privacySensitive individual informationComputer science communityReal-world problemsUnauthorized partiesHuman genomic dataPrivacy breachesData accessData sharingData accessibilityConfidentiality protectionGenomic dataSpectrum of techniquesIndividual informationPrivacyScience communityPhenotype informationTechnical approachPotential solutionsCurrent common practiceBiomedical researchResearch purposesConfidentialityInformationSharingSecure 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 researchInformation
2015
Comparison of consumers’ views on electronic data sharing for healthcare and research
Kim K, Joseph J, Ohno-Machado L. Comparison of consumers’ views on electronic data sharing for healthcare and research. Journal Of The American Medical Informatics Association 2015, 22: 821-830. PMID: 25829461, PMCID: PMC5009901, DOI: 10.1093/jamia/ocv014.Peer-Reviewed Original ResearchConceptsElectronic data sharingData sharingHealth information exchangeData networksHealth informationTechnology infrastructureInformation exchangePrivacyHealth Insurance PortabilitySharingAccountability ActUse of dataInsurance PortabilitySecurityNetworkInformationHealthcareIndividual controlHealthcare deliveryMere relianceDepth studyPortabilityAccessInfrastructureComparison of consumers
2014
Privacy Preserving RBF Kernel Support Vector Machine
Li H, Xiong L, Ohno-Machado L, Jiang X. Privacy Preserving RBF Kernel Support Vector Machine. BioMed Research International 2014, 2014: 827371. PMID: 25013805, PMCID: PMC4071990, DOI: 10.1155/2014/827371.Peer-Reviewed Original ResearchConceptsPrivate dataPrivacy-preserving data disseminationKernel support vector machineRBF kernel support vector machinePublic dataSupport vector machineSupport vector machine modelVector machine modelData disseminationData sharingBiomedical dataPrivacy standardsVector machineRBF kernelPerformance metricsSVMMachine modelFull usePrivacyFinal outputSeparable caseAvailable informationMachineSharingMetrics
2013
Privacy Technology to Support Data Sharing for Comparative Effectiveness Research
Jiang X, Sarwate A, Ohno-Machado L. Privacy Technology to Support Data Sharing for Comparative Effectiveness Research. Medical Care 2013, 51: s58-s65. PMID: 23774511, PMCID: PMC3728160, DOI: 10.1097/mlr.0b013e31829b1d10.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsData sharingPrivacy-preserving data sharingPrivacy-preserving technologiesEffective data sharingPrivacy technologiesData miningNetwork dataData typesThird-party expertsData tablesSpecific scenariosSharingInappropriate disclosurePractical evaluationPractical impactPatient dataNew technologiesTechnologyPrivacyComparative effectiveness researchMiningPractical toolCER studiesTextTime seriesGenomes in the cloud: balancing privacy rights and the public good.
Ohno-Machado L, Farcas C, Kim J, Wang S, Jiang X. Genomes in the cloud: balancing privacy rights and the public good. AMIA Joint Summits On Translational Science Proceedings 2013, 2013: 128. PMID: 24303320.Peer-Reviewed Original Research
1999
A 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