2023
Chapter 7 Data-driven approaches to generating knowledge: Machine learning, artificial intelligence, and predictive modeling
Matheny M, Ohno-Machado L, Davis S, Nemati S. Chapter 7 Data-driven approaches to generating knowledge: Machine learning, artificial intelligence, and predictive modeling. 2023, 217-255. DOI: 10.1016/b978-0-323-91200-6.00031-0.Peer-Reviewed Original Research
2021
Ultrafast homomorphic encryption models enable secure outsourcing of genotype imputation
Kim M, Harmanci A, Bossuat J, Carpov S, Cheon J, Chillotti I, Cho W, Froelicher D, Gama N, Georgieva M, Hong S, Hubaux J, Kim D, Lauter K, Ma Y, Ohno-Machado L, Sofia H, Son Y, Song Y, Troncoso-Pastoriza J, Jiang X. Ultrafast homomorphic encryption models enable secure outsourcing of genotype imputation. Cell Systems 2021, 12: 1108-1120.e4. PMID: 34464590, PMCID: PMC9898842, DOI: 10.1016/j.cels.2021.07.010.Peer-Reviewed Original ResearchConceptsHomomorphic encryption techniqueResource-intensive computationsSecure outsourcingGenomic data analysisData securityEncryption modelEncryption techniquePrivacy concernsSource codeMemory requirementsGenetic data analysisData analysisComparable accuracyFundamental stepGenotype imputationImputationDownloadSecurityOutsourcingComputationCodeServicesRequirementsAccuracyMethod
2014
Chapter 11 Generation of Knowledge for Clinical Decision Support Statistical and Machine Learning Techniques
Matheny M, Ohno-Machado L. Chapter 11 Generation of Knowledge for Clinical Decision Support Statistical and Machine Learning Techniques. 2014, 309-337. DOI: 10.1016/b978-0-12-398476-0.00011-7.ChaptersMachine learning techniquesClinical decision support systemArtificial neural networkDecision support systemModeling methodLearning techniquesMedical domainAlternative modeling methodNeural networkSupport systemPopular exampleClassification treesKnowledge generationNetworkStatisticalModelMethodGeneration
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 Research
2001
A Comparison of Machine Learning Methods for the Diagnosis of Pigmented Skin Lesions
Dreiseitl S, Ohno-Machado L, Kittler H, Vinterbo S, Billhardt H, Binder M. A Comparison of Machine Learning Methods for the Diagnosis of Pigmented Skin Lesions. Journal Of Biomedical Informatics 2001, 34: 28-36. PMID: 11376540, DOI: 10.1006/jbin.2001.1004.Peer-Reviewed Original ResearchConceptsArtificial neural networkDichotomous problemNearest neighborsDifferent classification tasksSpecific classification problemMachine learning methodsMachine-learning methodsClassification taskClassification problemNeural networkLearning methodsDecision tressPigmented skin lesionsVector machineDecision treeTaskNeighborsSVMMachineNetworkBenchmarksCommon neviMethodExcellent results
2000
Building knowledge in a complex preterm birth problem domain.
Goodwin L, Maher S, Ohno-Machado L, Iannacchione M, Crockett P, Dreiseitl S, Vinterbo S, Hammond W. Building knowledge in a complex preterm birth problem domain. AMIA Annual Symposium Proceedings 2000, 305-9. PMID: 11079894, PMCID: PMC2243761.Peer-Reviewed Original Research
1999
Evaluating variable selection methods for diagnosis of myocardial infarction.
Dreiseitl S, Ohno-Machado L, Vinterbo S. Evaluating variable selection methods for diagnosis of myocardial infarction. AMIA Annual Symposium Proceedings 1999, 246-50. PMID: 10566358, PMCID: PMC2232647.Peer-Reviewed Original ResearchConceptsMachine-learning techniquesBayesian neural networksNeural networkMultilayer perceptronRough setsVariable selection methodsSelection methodInput variablesVariable selectionInfarction dataBackpropagationPerceptronMyocardial infarction dataDifferent subsetsAlgorithmNetworkMethodSetDifferent methods