2013
Identifying inference attacks against healthcare data repositories.
Vaidya J, Shafiq B, Jiang X, Ohno-Machado L. Identifying inference attacks against healthcare data repositories. AMIA Joint Summits On Translational Science Proceedings 2013, 2013: 262-6. PMID: 24303279, PMCID: PMC3845790.Peer-Reviewed Original Research
2012
iDASH: integrating data for analysis, anonymization, and sharing
Ohno-Machado L, Bafna V, Boxwala A, Chapman B, Chapman W, Chaudhuri K, Day M, Farcas C, Heintzman N, Jiang X, Kim H, Kim J, Matheny M, Resnic F, Vinterbo S, team A. iDASH: integrating data for analysis, anonymization, and sharing. Journal Of The American Medical Informatics Association 2012, 19: 196-201. PMID: 22081224, PMCID: PMC3277627, DOI: 10.1136/amiajnl-2011-000538.Commentaries, Editorials and LettersConceptsHigh-performance computing environmentPrivacy-preserving mannerCollaborative tool developmentData-sharing capabilitiesData ownersComputing environmentData consumersBiomedical computingHealth Insurance PortabilityTechnology researchTool developmentAccountability ActBiological projectsBiological dataInsurance PortabilityAnonymizationComputingPortabilityBehavioral researchersAlgorithmSoftwareCloudNew National CenterDataCapability
1998
Building manageable rough set classifiers.
Ohrn A, Ohno-Machado L, Rowland T. Building manageable rough set classifiers. AMIA Annual Symposium Proceedings 1998, 543-7. PMID: 9929278, PMCID: PMC2232320.Peer-Reviewed Original ResearchConceptsReal-world medical datasetsRule-based classifierRough set classifierRough set theoryKnowledge discoveryData miningMedical datasetsBoolean reasoningSet classifierSet theoryClassifierBetter performanceSmall modelsMiningAvailable informationDatasetReasoningInteresting aspectsModelCapabilityInformationSetInspectionRulesPerformance