2023
A hierarchical strategy to minimize privacy risk when linking “De-identified” data in biomedical research consortia
Ohno-Machado L, Jiang X, Kuo T, Tao S, Chen L, Ram P, Zhang G, Xu H. A hierarchical strategy to minimize privacy risk when linking “De-identified” data in biomedical research consortia. Journal Of Biomedical Informatics 2023, 139: 104322. PMID: 36806328, PMCID: PMC10975485, DOI: 10.1016/j.jbi.2023.104322.Peer-Reviewed Original ResearchConceptsPrivacy of individualsAppropriate privacy protectionData-driven modelsPrivacy protectionPrivacy risksData Coordination CenterData hubData repositoryHierarchical strategyPrivacyBiomedical discoveryData setsRecord linkageData Coordinating CenterRepositoryComplex strategiesCoordination centerTechnologyTechniqueDataPartiesSetHierarchy
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
2015
Preserving Genome Privacy in Research Studies
Wang S, Jiang X, Fox D, Ohno-Machado L. Preserving Genome Privacy in Research Studies. 2015, 425-441. DOI: 10.1007/978-3-319-23633-9_16.Peer-Reviewed Original ResearchGenome privacyPrivacy researchBetter privacy protectionObfuscation of dataSecure data repositoryLoss of privacyData use agreementsPrivacy challengesPrivacy problemsPrivacy protectionAttack modelIndividual privacyData sharingMassive collectionPrivacyData repositoryTraditional clinical informationScientific discoveryGenomic dataData analysis methodsBig challengeUse agreementsBiomedical communityTechnical aspects
2012
SecUre Privacy-presERving Medical Image CompRessiOn (SUPERMICRO)
Wang S, Jiang X, Ohno-Machado L, Cui L, Cheng S. SecUre Privacy-presERving Medical Image CompRessiOn (SUPERMICRO). 2012, 1: 130-130. DOI: 10.1109/hisb.2012.55.Peer-Reviewed Original ResearchNational Health Information NetworkBiomedical dataPrivacy-preserving mannerImage compression frameworkMedical image compressionTraditional compression algorithmsHigh compression performanceCT image sequencesHealth Information NetworkSecure privacyCompression frameworkImage compressionPrivacy protectionSecure mannerCompression algorithmCompression efficiencyLossless compressionElectronic health recordsSource codingCompression performanceImage sequencesData transmissionIntuitive wayInformation networksPrivacyA randomized response model for privacy-preserving data dissemination
Jiang X, Wang S, Ji Z, Ohno-Machado L, Xiong L. A randomized response model for privacy-preserving data dissemination. 2012, 1: 138-138. DOI: 10.1109/hisb.2012.63.Peer-Reviewed Original ResearchPrivacy protectionPrivacy-preserving data disseminationDifferential privacy guaranteeData dissemination mechanismStrong privacy protectionData receiverSensitive personal informationReal-world datasetsPrivacy guaranteesDifferential privacyData disseminationPrivacy risksData usabilityPerturbed dataPersonal informationMedical dataClassification accuracyInformation lossDissemination mechanismImproper disclosureIdentity mappingBig concernExperimental resultsRecovery procedurePatient records
2004
Protecting patient privacy by quantifiable control of disclosures in disseminated databases
Ohno-Machado L, Silveira P, Vinterbo S. Protecting patient privacy by quantifiable control of disclosures in disseminated databases. International Journal Of Medical Informatics 2004, 73: 599-606. PMID: 15246040, DOI: 10.1016/j.ijmedinf.2004.05.002.Peer-Reviewed Original ResearchConceptsSensitive patient dataPattern recognition algorithmsLevel of confidentialitySensitive dataPrivacy protectionSensitive informationDisseminated dataRecognition algorithmDegree of anonymityPatient privacyAlgorithmPrivacyPatient dataDatabaseAnonymizationQuantifiable controlPublic health purposesConfidentialityInformationAnonymityHealth care organizationsHealth purposesCare organizationsCommon practiceAmbiguation
2002
Disambiguation Data: Extracting Information from Anonymized Sources
Dreiseitl S, Vinterbo S, Ohno-Machado L. Disambiguation Data: Extracting Information from Anonymized Sources. Journal Of The American Medical Informatics Association 2002, 9: s110-s114. PMCID: PMC419432, DOI: 10.1197/jamia.m1240.Peer-Reviewed Original Research
2001
Disambiguation data: extracting information from anonymized sources.
Dreiseitl S, Vinterbo S, Ohno-Machado L. Disambiguation data: extracting information from anonymized sources. AMIA Annual Symposium Proceedings 2001, 144-8. PMID: 11825171, PMCID: PMC2243291.Peer-Reviewed Original Research