2016
Chapter 6 Clinical Research Information Systems: Using Electronic Health Records for Research
Nadkarni P. Chapter 6 Clinical Research Information Systems: Using Electronic Health Records for Research. 2016, 129-142. DOI: 10.1016/b978-0-12-803130-8.00006-3.Peer-Reviewed Original ResearchClinical study data management systemsElectronic health recordsHealth recordsData management systemPersonal health recordsService requestsCentralized managementManagement systemType of systemClinical research dataPatient-reported outcomesPragmatic clinical trialsQuality improvement initiativesResearch dataGenomic dataClinical trialsClinical dataPractical issuesInteroperationLimited situationsWorkflowResearch projectRequestsSystemDataChapter 10 Core Technologies: Data Mining and “Big Data”
Nadkarni P. Chapter 10 Core Technologies: Data Mining and “Big Data”. 2016, 187-204. DOI: 10.1016/b978-0-12-803130-8.00010-5.Peer-Reviewed Original Research
2006
Pivoting 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 ResearchConceptsEntity attributesClinical study data management systemsData management systemNumber of attributesDatabase serverHash tableClinical patient dataValue dataManagement systemAlternative algorithmsPatient dataSQLServerRepositoryAlgorithmComplex approachFormatDataAttributesParameter formatOne-columnExtractionAnalytical programPerformanceMemory
2004
VitaPad: visualization tools for the analysis of pathway data
Holford M, Li N, Nadkarni P, Zhao H. VitaPad: visualization tools for the analysis of pathway data. Bioinformatics 2004, 21: 1596-1602. PMID: 15564306, DOI: 10.1093/bioinformatics/bti153.Peer-Reviewed Original ResearchConceptsCross-platform applicationHigh-resolution graphicsGraph layout algorithmsBiological pathway diagramsPathway diagramsXML formatUser interfaceLayout algorithmVisualization toolsIntuitive controlEasy extensionPathway dataGraphicsUsersMicroarray dataAlgorithmSoftwareToolFormatDataHongyuInterfaceIntegrationPackageApplications
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 ResearchConceptsData martClinical study data management systemsTransaction-oriented systemsData management systemClinical research databaseDatabase schemaEntity attributesAnalytical processingHuman interpretationStudy metadataMetadataManagement systemArbitrary numberData entrySuch dataBrowsingValue modelSchemaMartHigher-level groupingsSystemDataProcessingDatabaseCreation
1999
Organization of Heterogeneous Scientific Data Using the EAV/CR Representation
Nadkarni P, Marenco L, Chen R, Skoufos E, Shepherd G, Miller P. Organization of Heterogeneous Scientific Data Using the EAV/CR Representation. Journal Of The American Medical Informatics Association 1999, 6: 478-493. PMID: 10579606, PMCID: PMC61391, DOI: 10.1136/jamia.1999.0060478.Peer-Reviewed Original ResearchConceptsEAV/CRHeterogeneous scientific dataPhysical database schemaStorage of dataInterobject relationshipsDatabase schemaHeterogeneous dataMedical domainComplex objectsScientific domainsClinical patient recordsSchemaBiomedical databasesRepresentationScientific dataPatient recordsSuch purposesDatabaseValue representationDomainObjectsParadigmDataOlfactory Receptor Database: a database of the largest eukaryotic gene family
Skoufos E, Healy M, Singer M, Nadkarni P, Miller P, Shepherd G. Olfactory Receptor Database: a database of the largest eukaryotic gene family. Nucleic Acids Research 1999, 27: 343-345. PMID: 9847223, PMCID: PMC148178, DOI: 10.1093/nar/27.1.343.Peer-Reviewed Original ResearchNeuronal database integration: the Senselab EAV data model.
Marenco L, Nadkarni P, Skoufos E, Shepherd G, Miller P. Neuronal database integration: the Senselab EAV data model. AMIA Annual Symposium Proceedings 1999, 102-6. PMID: 10566329, PMCID: PMC2232788.Peer-Reviewed Original Research
1998
Database tools for integrating and searching membrane property data correlated with neuronal morphology
Mirsky J, Nadkarni P, Healy M, Miller P, Shepherd G. Database tools for integrating and searching membrane property data correlated with neuronal morphology. Journal Of Neuroscience Methods 1998, 82: 105-121. PMID: 10223520, DOI: 10.1016/s0165-0270(98)00049-1.Peer-Reviewed Original ResearchConceptsDatabase toolsWeb resourcesSearch toolsCritical problemUsersSequence databasesSimple canonical modelFunctional operationDatabaseToolSearchDifferent neuronsInternetAnnotationEquivalent compartmentsModelersDataProperty dataCanonical modelDifferent typesInformationState of acceptanceResourcesVehiclesProperty space
1995
Management of Evolving Map Data: Data Structures and Algorithms Based on the Framework Map
Nadkarni P. Management of Evolving Map Data: Data Structures and Algorithms Based on the Framework Map. Genomics 1995, 30: 565-573. PMID: 8825644, DOI: 10.1006/geno.1995.1278.Peer-Reviewed Original ResearchConceptsData structureMap maintenanceClient-server databaseRelational databaseAmount of informationGenomic objectsAlgorithm BasedMap dataAlgorithmConsensus framework mapUseful mapsGenome CenterDatabaseObjectsQueriesMapsPutative orderBasedMapping effortsInformationFramework mapDataApplicationsOrderHeterogeneous methodologies