2012
Grid Binary LOgistic REgression (GLORE): building shared models without sharing data
Wu Y, Jiang X, Kim J, Ohno-Machado L. Grid Binary LOgistic REgression (GLORE): building shared models without sharing data. Journal Of The American Medical Informatics Association 2012, 19: 758-764. PMID: 22511014, PMCID: PMC3422844, DOI: 10.1136/amiajnl-2012-000862.Peer-Reviewed Original ResearchConceptsIntegrity of communicationCentralized data sourcesTraditional LR modelCentral repositoryComputational costData sourcesData setsSame formatPatient dataComputationGenomic dataRare patternRelevant dataLR modelPrediction valueSetRepositoryPartial elementsFormatClassificationCommunicationModelDataPatient setPerformData Locked Inside Databases: A Text Classification In The Database Of Genotypes And Phenotypes (dbGaP) To Address Challenges In Retrieving Clinical Information From Public Data Repositories
Ross M, Kim J, Lin K, Ohno-Machado L, Finn P, Kim H. Data Locked Inside Databases: A Text Classification In The Database Of Genotypes And Phenotypes (dbGaP) To Address Challenges In Retrieving Clinical Information From Public Data Repositories. 2012, a5777-a5777. DOI: 10.1164/ajrccm-conference.2012.185.1_meetingabstracts.a5777.Peer-Reviewed Original Research
2007
10 Generation of knowledge for clinical decision support Statistical and machine learning techniques
Matheny M, Ohno-Machado L. 10 Generation of knowledge for clinical decision support Statistical and machine learning techniques. 2007, 227-248. DOI: 10.1016/b978-012369377-8/50011-8.ChaptersLearning techniquesMedical domainMachine learning techniquesAcceptance of computersClinical decision supportModeling methodAlternative modeling methodDecision supportBiomedical informaticsPopular examplePrediction modelGeneration of knowledgeTheoretical justificationRapid paceRegression techniquesTechnological advancesComputerInformaticsMachineBest modelTechniqueDomainClassificationModelKnowledge
2004
Multivariate selection of genetic markers in diagnostic classification
Weber G, Vinterbo S, Ohno-Machado L. Multivariate selection of genetic markers in diagnostic classification. Artificial Intelligence In Medicine 2004, 31: 155-167. PMID: 15219292, DOI: 10.1016/j.artmed.2004.01.011.Peer-Reviewed Original ResearchConceptsClassification performanceBetter classification performanceLogistic regression algorithmUser-friendly implementationDifferent data setsSophisticated algorithmsRegression algorithmAlgorithmNew algorithmParticular classificationUnivariate algorithmsData setsGene expression dataClassificationNumber of variablesGene selectionSetInternetExpression dataNew setViable choiceMachinePerformanceImplementationSelection