2019
Machine Learning in Relation to Emergency Medicine Clinical and Operational Scenarios: An Overview
Lee S, Mohr N, Street W, Nadkarni P. Machine Learning in Relation to Emergency Medicine Clinical and Operational Scenarios: An Overview. Western Journal Of Emergency Medicine 2019, 20: 219-227. PMID: 30881539, PMCID: PMC6404711, DOI: 10.5811/westjem.2019.1.41244.Peer-Reviewed Original ResearchConceptsNatural language processingHealth informaticsMachine-learning algorithmsHealth informatics toolsArtificial intelligenceMachine learningLanguage processingVital technologyInformaticsInformatics toolsEmergency careOperational scenariosEmergency medicineCurrent stateHealthcare providersClinical useHealthcare settingsIntelligencePractice changeMachineAlgorithmToolEM cliniciansPowerful toolProminent development
2013
Natural language processing: algorithms and tools to extract computable information from EHRs and from the biomedical literature
Ohno-Machado L, Nadkarni P, Johnson K. Natural language processing: algorithms and tools to extract computable information from EHRs and from the biomedical literature. Journal Of The American Medical Informatics Association 2013, 20: 805-805. PMID: 23935077, PMCID: PMC3756279, DOI: 10.1136/amiajnl-2013-002214.Commentaries, Editorials and Letters
2010
Implementing description-logic rules for SNOMED-CT attributes through a table-driven approach
Nadkarni PM, Marenco LA. Implementing description-logic rules for SNOMED-CT attributes through a table-driven approach. Journal Of The American Medical Informatics Association 2010, 17: 182-184. PMID: 20190061, PMCID: PMC3000783, DOI: 10.1136/jamia.2009.001792.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
2003
Text mining neuroscience journal articles to populate neuroscience databases
Crasto CJ, Marenco LN, Migliore M, Mao B, Nadkarni PM, Miller P, Shepherd GM. Text mining neuroscience journal articles to populate neuroscience databases. Neuroinformatics 2003, 1: 215-237. PMID: 15046245, DOI: 10.1385/ni:1:3:215.Peer-Reviewed Original ResearchConceptsNeuroscience databasesNatural language textPre-processing stepDatabase architectureLanguage textRetrieval resultsDatabase keywordsSemantic contextBibliography databasesNeuroscience articlesTest setTwo-step approachFirst stepDatabaseExpertsArchitectureSoftwareKnowledgebaseSecond stepNeuroscienceSenseLabKeywordsContinual improvementStepAccuracyTemporal query of attribute-value patient data: utilizing the constraints of clinical studies
Deshpande AM, Brandt C, Nadkarni PM. Temporal query of attribute-value patient data: utilizing the constraints of clinical studies. International Journal Of Medical Informatics 2003, 70: 59-77. PMID: 12706183, PMCID: PMC2987270, DOI: 10.1016/s1386-5056(02)00183-1.Peer-Reviewed Original ResearchConceptsClinical study data management systemsTemporal queriesClinical patient record systemsClinical data storageData management systemPatient record systemQuery algorithmData storageTemporal operatorsClinical studiesQueriesManagement systemGroup of patientsRecord systemEffect of therapyTemporal computationAdverse eventsRelational formsPatient dataLogistic reasonsArchitectureValue modelAlgorithmCreating knowledgebases to text-mine PUBMED articles using clustering techniques.
Crasto CJ, Morse TM, Migliore M, Nadkarni P, Hines M, Brash DE, Miller PL, Shepherd GM. Creating knowledgebases to text-mine PUBMED articles using clustering techniques. AMIA Annual Symposium Proceedings 2003, 2003: 821. PMID: 14728326, PMCID: PMC1479923.Peer-Reviewed Original ResearchIntegrating Query of Relational and Textual Data in Clinical Databases: A Case Study
Fisk JM, Mutalik P, Levin FW, Erdos J, Taylor C, Nadkarni P. Integrating Query of Relational and Textual Data in Clinical Databases: A Case Study. Journal Of The American Medical Informatics Association 2003, 10: 21-38. PMID: 12509355, PMCID: PMC150357, DOI: 10.1197/jamia.m1133.Peer-Reviewed Original ResearchConceptsRelational database management systemInformation retrievalDatabase management systemClinical data martCommodity softwareFuzzy searchingText indexingRelational searchTextual dataData martIR softwareBoolean searchManagement systemMedical textsSoftwareSearchingDocumentsQueriesTextIndexingClinical databaseCase studyIR facilitiesRetrievalVendors
2001
UMLS Concept Indexing for Production Databases
Nadkarni P, Chen R, Brandt C. UMLS Concept Indexing for Production Databases. Journal Of The American Medical Informatics Association 2001, 8: 80-91. PMID: 11141514, PMCID: PMC134593, DOI: 10.1136/jamia.2001.0080080.Peer-Reviewed Original Research
1998
CHRONOMERGE: An Application for the Merging and Display of Multiple Time-Stamped Data Streams
Nadkarni P. CHRONOMERGE: An Application for the Merging and Display of Multiple Time-Stamped Data Streams. Journal Of Biomedical Informatics 1998, 31: 451-464. PMID: 9843629, DOI: 10.1006/cbmr.1998.1492.Peer-Reviewed Original ResearchConceptsData streamsGraphical user interfaceTime-stamped dataSingle streamTime-stamp valuesDatabase applicationsUser interfaceSQL codeMultiple time seriesMultiple streamsMerge operationResultant streamStatistical aggregatesStandard toolStreamsMore parametersMergeMultiple timesGranularityRepositoryTime seriesDisplayApplicationsNumerous optionsSpecificationAutomatic query mapping among genomic databases: a pilot exploration.
Cheung KH, Nadkarni P, Miller P, Shin DG. Automatic query mapping among genomic databases: a pilot exploration. AMIA Annual Symposium Proceedings 1998, 942-6. PMID: 9929357, PMCID: PMC2232293.Peer-Reviewed Original Research
1997
Mapdiff: determining differences between two genomic maps
Nadkarni P. Mapdiff: determining differences between two genomic maps. Bioinformatics 1997, 13: 217-225. PMID: 9183523, DOI: 10.1093/bioinformatics/13.3.217.Peer-Reviewed Original ResearchQAV: querying entity-attribute-value metadata in a biomedical database
Nadkarni P. QAV: querying entity-attribute-value metadata in a biomedical database. Computer Methods And Programs In Biomedicine 1997, 53: 93-103. PMID: 9186046, DOI: 10.1016/s0169-2607(97)01815-4.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsDatabases, FactualHumansInformation Storage and RetrievalUser-Computer InterfaceConceptsData retrievalClient-server applicationsGraphical front endSet-based queriesMetadata repositorySQL statementsData organizationKnowledge representationBiomedical databasesRetrievalProduction applicationsFront endQueriesServerMetadataDatabaseUsersRepositoryDatasetApplicationsRelation formRepresentation
1996
CONTIG EXPLORER: Interactive Marker-Content Map Assembly
Nadkarni P, Banks A, Montgomery K, LeBlanc-Stracewski J, Miller P, Krauter K. CONTIG EXPLORER: Interactive Marker-Content Map Assembly. Genomics 1996, 31: 301-310. PMID: 8838311, DOI: 10.1006/geno.1996.0052.Peer-Reviewed Original Research
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
1992
Harnessing networked workstations as a powerful parallel computer: a general paradigm illustrated using three programs for genetic linkage analysis
Miller P, Nadkarni P, Bercovitz P. Harnessing networked workstations as a powerful parallel computer: a general paradigm illustrated using three programs for genetic linkage analysis. Bioinformatics 1992, 8: 141-147. PMID: 1591609, DOI: 10.1093/bioinformatics/8.2.141.Peer-Reviewed Original ResearchConceptsParallel computersMachine-independent parallel programming languageParallel programming languagePowerful parallel computersParallel programsProgramming languageNetworked workstationsComputational resourcesParallel machinesGeneral paradigmBiological computationWorkstationsComputerLindaNetworkInstitutions networkMathematical techniquesParadigmHardwareMachineComputationLanguageCapabilityResourcesComparing machine-independent versus machine-specific parallelization of a software platform for biological sequence comparison
Miller P, Nadkarni P, Pearson W. Comparing machine-independent versus machine-specific parallelization of a software platform for biological sequence comparison. Bioinformatics 1992, 8: 167-175. PMID: 1591612, DOI: 10.1093/bioinformatics/8.2.167.Peer-Reviewed Original ResearchConceptsDatabase of sequencesBiological sequence comparisonParallel computationMachine-independent parallel programming languageParallel programming languageHypercube parallel computerProgramming languageSoftware platformParallel computersParallel machinesExpressive powerBiological sequencesParallelizationPlatform programComputationModest sacrificeBenchmark testsLogicDatabaseCase studyComputerPortabilityMachineLindaRelative advantagesFast Computation of Genetic Likelihoods on Human Pedigree Data
Goradia T, Lange K, Miller P, Nadkarni P. Fast Computation of Genetic Likelihoods on Human Pedigree Data. Human Heredity 1992, 42: 42-62. PMID: 1555846, DOI: 10.1159/000154045.Peer-Reviewed Original ResearchConceptsHuman pedigree dataNetwork of workstationsLarge-scale computationsHardware techniquesParallel machinesComputational speedDifferent architecturesLinkage problemFast computationVectorized versionComputationFast calculationLarge numberParallelizationSupercomputersVectorizationComplete phenotypingWorkstationsArchitectureGenetic likelihoodMachineNetworkVersionNew methodSubstantial improvement
1991
Parallel computation and FASTA: confronting the problem of parallel database search for a fast sequence comparison algorithm
Miller P, Nadkarni P, Carriero N. Parallel computation and FASTA: confronting the problem of parallel database search for a fast sequence comparison algorithm. Bioinformatics 1991, 7: 71-78. PMID: 2004277, DOI: 10.1093/bioinformatics/7.1.71.Peer-Reviewed Original ResearchConceptsSequence comparison algorithmAmount of computationMachine-independent parallel programming languageComparison algorithmsDisk I/OParallel programming languageParallel program runsO bottleneck problemDifferent parallel machinesBiological sequence comparisonNumber of processorsTime-consuming computationProgramming languageParallelization strategyParallel computationParallel machinesProgram design strategiesProgram runBottleneck problemFASTA algorithmFASTAAlgorithmComputationBottleneckGeneral problem