2020
iDASH secure genome analysis competition 2018: blockchain genomic data access logging, homomorphic encryption on GWAS, and DNA segment searching
Kuo T, Jiang X, Tang H, Wang X, Bath T, Bu D, Wang L, Harmanci A, Zhang S, Zhi D, Sofia H, Ohno-Machado L. iDASH secure genome analysis competition 2018: blockchain genomic data access logging, homomorphic encryption on GWAS, and DNA segment searching. BMC Medical Genomics 2020, 13: 98. PMID: 32693816, PMCID: PMC7372776, DOI: 10.1186/s12920-020-0715-0.Peer-Reviewed Original ResearchMeSH KeywordsBlockchainDatasets as TopicDNAGenome, HumanGenome-Wide Association StudyHumansModels, Theoretical
2019
Fair compute loads enabled by blockchain: sharing models by alternating client and server roles
Kuo T, Gabriel R, Ohno-Machado L. Fair compute loads enabled by blockchain: sharing models by alternating client and server roles. Journal Of The American Medical Informatics Association 2019, 26: 392-403. PMID: 30892656, PMCID: PMC7787356, DOI: 10.1093/jamia/ocy180.Peer-Reviewed Original Research
2012
Calibrating predictive model estimates to support personalized medicine
Jiang X, Osl M, Kim J, Ohno-Machado L. Calibrating predictive model estimates to support personalized medicine. Journal Of The American Medical Informatics Association 2012, 19: 263-274. PMID: 21984587, PMCID: PMC3277613, DOI: 10.1136/amiajnl-2011-000291.Peer-Reviewed Original ResearchMeSH KeywordsConfidence IntervalsHumansLogistic ModelsMathematical ConceptsModels, TheoreticalPatient DischargePrecision MedicineConceptsReal-world medical classification problemsMedical classification problemsClassification problemPredictive model estimatesComputational complexityACP algorithmIsotonic regressionPredictive modelTerms of areaImportant performance measuresCalibration methodAdaptive techniqueCalculation of CIsAdaptive calibrationSquared errorIndividual predictionsPerformance measuresFit testInformationNew calibration methodCurrent methods
2011
Natural language processing: an introduction
Nadkarni PM, Ohno-Machado L, Chapman WW. Natural language processing: an introduction. Journal Of The American Medical Informatics Association 2011, 18: 544-551. PMID: 21846786, PMCID: PMC3168328, DOI: 10.1136/amiajnl-2011-000464.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus Statements
2010
Effect of data combination on predictive modeling: a study using gene expression data.
Osl M, Dreiseitl S, Kim J, Patel K, Baumgartner C, Ohno-Machado L. Effect of data combination on predictive modeling: a study using gene expression data. AMIA Annual Symposium Proceedings 2010, 2010: 567-71. PMID: 21347042, PMCID: PMC3041313.Peer-Reviewed Original Research
2006
Approximation properties of haplotype tagging
Vinterbo S, Dreiseitl S, Ohno-Machado L. Approximation properties of haplotype tagging. BMC Bioinformatics 2006, 7: 8. PMID: 16401341, PMCID: PMC1395335, DOI: 10.1186/1471-2105-7-8.Peer-Reviewed Original ResearchConceptsApproximation propertiesCombinatorial optimization problemsOptimization problemImplementable algorithmComputational effortSolution qualityTerms of complexitySimple algorithmSize m.Population membersSingle processor machineAlgorithmProblemAsymptoticsApproximationProcessor machineHaplotype taggingNPsUnique identification
2002
Logistic regression and artificial neural network classification models: a methodology review
Dreiseitl S, Ohno-Machado L. Logistic regression and artificial neural network classification models: a methodology review. Journal Of Biomedical Informatics 2002, 35: 352-359. PMID: 12968784, DOI: 10.1016/s1532-0464(03)00034-0.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsMeSH KeywordsClassificationLogistic ModelsModels, TheoreticalNerve NetOrganization and AdministrationRegression AnalysisConceptsMedical data classification tasksNeural network classification modelArtificial neural network (ANN) classification modelData classification tasksNetwork classification modelArtificial neural networkArtificial neural network modelNeural network modelClassification taskNeural networkClassification modelNetwork modelTechnical pointMachineAlgorithmNetworkTaskQuality criteriaModelMethodology reviewSample of papers