2018
A Scalable Privacy-preserving Data Generation Methodology for Exploratory Analysis.
Vaidya J, Shafiq B, Asani M, Adam N, Jiang X, Ohno-Machado L. A Scalable Privacy-preserving Data Generation Methodology for Exploratory Analysis. AMIA Annual Symposium Proceedings 2018, 2017: 1695-1704. PMID: 29854240, PMCID: PMC5977652.Peer-Reviewed Original ResearchConceptsPrivacy-preserving approachData management systemBig dataBiomedical datasetsClassification taskBiomedical dataContext of regressionManagement systemSynthetic dataGeneration methodologyEssential problemResearch tasksAdditional datasetsDatasetTaskSignificant effortsDirect accessFirstorder approximationDataParticular typeAccessPrecision medicineDataMed – an open source discovery index for finding biomedical datasets
Chen X, Gururaj A, Ozyurt B, Liu R, Soysal E, Cohen T, Tiryaki F, Li Y, Zong N, Jiang M, Rogith D, Salimi M, Kim H, Rocca-Serra P, Gonzalez-Beltran A, Farcas C, Johnson T, Margolis R, Alter G, Sansone S, Fore I, Ohno-Machado L, Grethe J, Xu H. DataMed – an open source discovery index for finding biomedical datasets. Journal Of The American Medical Informatics Association 2018, 25: 300-308. PMID: 29346583, PMCID: PMC7378878, DOI: 10.1093/jamia/ocx121.Peer-Reviewed Original ResearchIngestion pipelineBiomedical datasetsSearch enginesBiomedical domainAdvanced natural language processingRelevant datasetsUser-entered queryData discovery systemUnified metadata modelData ingestion pipelinesNatural language processingOpen-source packageRetrieval engineTerminology servicesMetadata modelMetadata informationDiscovery systemData reuseDataMedBenchmark datasetsBiomedical dataData indexAverage precisionLanguage processingSource package
2017
User needs analysis and usability assessment of DataMed – a biomedical data discovery index
Dixit R, Rogith D, Narayana V, Salimi M, Gururaj A, Ohno-Machado L, Xu H, Johnson T. User needs analysis and usability assessment of DataMed – a biomedical data discovery index. Journal Of The American Medical Informatics Association 2017, 25: 337-344. PMID: 29202203, PMCID: PMC7378884, DOI: 10.1093/jamia/ocx134.Peer-Reviewed Original ResearchData discoveryUsability evaluationInformation needsUser interfaceBiomedical dataIterative usability evaluationsInformation retrieval toolsUser interface needsHigh-quality metadataResearchers informationCommon search enginesDiscovery systemRetrieval toolsDataMedUser studyRelevance judgmentsSearch enginesUser needsDataset explorationUsability assessmentRetrieval techniquesNew retrieval techniqueIncomplete metadataMetadataUsers
2014
A community assessment of privacy preserving techniques for human genomes
Jiang X, Zhao Y, Wang X, Malin B, Wang S, Ohno-Machado L, Tang H. A community assessment of privacy preserving techniques for human genomes. BMC Medical Informatics And Decision Making 2014, 14: s1. PMID: 25521230, PMCID: PMC4290799, DOI: 10.1186/1472-6947-14-s1-s1.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsBiomedical dataPrivacy preserving techniquesPrivacy protection techniquesData privacyBiomedical computingHuman genomic dataData donorsDissemination techniquesPersonal Genome ProjectRaw dataProtection techniquesRigorous protectionPrivacyGenomic dataFinal resultsComputingCommunity effortsAnalysis outcomesChallengesTechniqueDataProjectPrivacy 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
2012
Preserving Institutional Privacy in Distributed binary Logistic Regression.
Wu Y, Jiang X, Ohno-Machado L. Preserving Institutional Privacy in Distributed binary Logistic Regression. AMIA Annual Symposium Proceedings 2012, 2012: 1450-8. PMID: 23304425, PMCID: PMC3540539.Peer-Reviewed Original ResearchSHARE: system design and case studies for statistical health information release
Gardner J, Xiong L, Xiao Y, Gao J, Post A, Jiang X, Ohno-Machado L. SHARE: system design and case studies for statistical health information release. Journal Of The American Medical Informatics Association 2012, 20: 109-116. PMID: 23059729, PMCID: PMC3555328, DOI: 10.1136/amiajnl-2012-001032.Peer-Reviewed Original ResearchConceptsDifferential privacy frameworkPrivacy frameworkDifferential privacyMultidimensional histogramsReal medical datasetsMedical data warehouseOriginal data distributionInformation releaseHigh-dimensional dataBreast cancer datasetPattern queriesMedical datasetsElectronic medical record datasetHeterogeneous dataData warehouseUse casesElectronic health recordsMedical domainBiomedical dataThree-dimensional data cubeArt methodsData distributionMedical dataDimensional dataData cubeSecUre 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 networksPrivacy