2006
Guidelines for the effective use of entity–attribute–value modeling for biomedical databases
Dinu V, Nadkarni P. Guidelines for the effective use of entity–attribute–value modeling for biomedical databases. International Journal Of Medical Informatics 2006, 76: 769-779. PMID: 17098467, PMCID: PMC2110957, DOI: 10.1016/j.ijmedinf.2006.09.023.Peer-Reviewed Original ResearchMeSH KeywordsDatabase Management SystemsEfficiency, OrganizationalGuidelines as TopicHumansMedical Informatics ApplicationsModels, OrganizationalUnited StatesPivoting approaches for bulk extraction of Entity–Attribute–Value data
Dinu V, Nadkarni P, Brandt C. Pivoting approaches for bulk extraction of Entity–Attribute–Value data. Computer Methods And Programs In Biomedicine 2006, 82: 38-43. PMID: 16556470, DOI: 10.1016/j.cmpb.2006.02.001.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsClinical Trials as TopicElectronic Data ProcessingHumansMedical Informatics ApplicationsMedical RecordsSoftwareUnited StatesConceptsEntity attributesClinical study data management systemsData management systemNumber of attributesDatabase serverHash tableClinical patient dataValue dataManagement systemAlternative algorithmsPatient dataSQLServerRepositoryAlgorithmComplex approachFormatDataAttributesParameter formatOne-columnExtractionAnalytical programPerformanceMemory
2005
Informatics tools to improve clinical research.
Argraves S, Brandt CA, Money R, Nadkarni P. Informatics tools to improve clinical research. AMIA Annual Symposium Proceedings 2005, 2005: 883. PMID: 16779170, PMCID: PMC1560747.Peer-Reviewed Original Research
2004
QIS: A Framework for Biomedical Database Federation
Marenco L, Wang TY, Shepherd G, Miller PL, Nadkarni P. QIS: A Framework for Biomedical Database Federation. Journal Of The American Medical Informatics Association 2004, 11: 523-534. PMID: 15298995, PMCID: PMC524633, DOI: 10.1197/jamia.m1506.Peer-Reviewed Original ResearchConceptsNetwork-based serversHeterogeneous data sourcesRobust data integrationIntegration serverOntology serverDatabase federationsSource serverNeuroscience databasesData integrationMediator frameworkServerData elementsQueriesData sourcesMetadataPrototype stageStandard technologyIntegrator systemGenomic databasesFrameworkDatabaseOntologyArchitectureSchemaTechnological expertise
2002
Metadata-driven creation of data marts from an EAV-modeled clinical research database
Brandt CA, Morse R, Matthews K, Sun K, Deshpande AM, Gadagkar R, Cohen DB, Miller PL, Nadkarni PM. Metadata-driven creation of data marts from an EAV-modeled clinical research database. International Journal Of Medical Informatics 2002, 65: 225-241. PMID: 12414020, DOI: 10.1016/s1386-5056(02)00047-3.Peer-Reviewed Original ResearchMeSH KeywordsBreast NeoplasmsDatabase Management SystemsDatabases as TopicFemaleHumansInformation Storage and RetrievalMedical Informatics ApplicationsSoftwareConceptsData martClinical study data management systemsTransaction-oriented systemsData management systemClinical research databaseDatabase schemaEntity attributesAnalytical processingHuman interpretationStudy metadataMetadataManagement systemArbitrary numberData entrySuch dataBrowsingValue modelSchemaMartHigher-level groupingsSystemDataProcessingDatabaseCreation