2024
Distributed management of patient data-sharing informed consents for clinical research
Pham A, Edelson M, Nouri A, Kuo T. Distributed management of patient data-sharing informed consents for clinical research. Computers In Biology And Medicine 2024, 180: 108956. PMID: 39121682, PMCID: PMC11380755, DOI: 10.1016/j.compbiomed.2024.108956.Peer-Reviewed Original ResearchBenefits of immutabilityBlockchain-based infrastructureMulti-site scenarioResearch Data AccessNode parallelismOn-chainNetwork nodesData accessAudit trailPatient privacyDistribution managementConsent mechanismsData categoriesNodesEfficient wayNetworkAutomated channelAccuracyQueryPrivacyImmutabilityOrchestrationConsent protocolDataExhaustive list
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
2022
Quorum-based model learning on a blockchain hierarchical clinical research network using smart contracts
Kuo T, Pham A. Quorum-based model learning on a blockchain hierarchical clinical research network using smart contracts. International Journal Of Medical Informatics 2022, 169: 104924. PMID: 36402113, PMCID: PMC9984225, DOI: 10.1016/j.ijmedinf.2022.104924.Peer-Reviewed Original ResearchConceptsSmart contractsPrivacy-preserving modelHierarchical learning algorithmBlockchain smart contractsProtect patient privacyLearning algorithmsNetwork of networksConsensus protocolModeling processPatient privacyQuorum mechanismHierarchical networkAvailability issuesNetworkPrediction correctnessIterative phasesPrediction modelPrivacyImmutabilityCapabilityHealthcare institutionsAlgorithmDatasetIterationLearning continuityThe evolving privacy and security concerns for genomic data analysis and sharing as observed from the iDASH competition
Kuo T, Jiang X, Tang H, Wang X, Harmanci A, Kim M, Post K, Bu D, Bath T, Kim J, Liu W, Chen H, Ohno-Machado L. The evolving privacy and security concerns for genomic data analysis and sharing as observed from the iDASH competition. Journal Of The American Medical Informatics Association 2022, 29: 2182-2190. PMID: 36164820, PMCID: PMC9667175, DOI: 10.1093/jamia/ocac165.Peer-Reviewed Original ResearchConceptsSensitive personal informationGenomic data analysisPotential future research directionsPersonal informationSecurity concernsGenomics data repositoryData repositoryReport lessonsProtection techniquesFuture research directionsPrivacyResearch directionsData usePractical challengesGenomic dataData analysisAnonymizationCommunity effortsRepositorySecurityBiomedical researchInformationDataChallenges
2013
Unsupervised link prediction using aggregative statistics on heterogeneous social networks
Kuo T, Yan R, Huang Y, Kung P, Lin S. Unsupervised link prediction using aggregative statistics on heterogeneous social networks. 2013, 775-783. DOI: 10.1145/2487575.2487614.Peer-Reviewed Original ResearchHeterogeneous social networksSocial networksUnsupervised link predictionFactor graph modelOnline social networksAggregate statisticsLabeled dataUnsupervised frameworkUnsupervised modelInference algorithmLink predictionOpinion holdersGraph modelNetworkDBLPNDCGPlurkPrediction scenariosScenariosPrivacyFoursquareUnsupervisedTwitterAlgorithmDataset