2016
Chapter 4 Core Technologies: Machine Learning and Natural Language Processing
Nadkarni P. Chapter 4 Core Technologies: Machine Learning and Natural Language Processing. 2016, 85-114. DOI: 10.1016/b978-0-12-803130-8.00004-x.Peer-Reviewed Original ResearchNatural language processingMachine learningLanguage processingInformation retrieval methodsMachine learning techniquesUnsupervised learning methodMachine-learning conceptsInformation retrievalSequential dataLearning methodsFundamental techniqueLearningTraditional statisticsProcessingBayesRetrievalBasicsTechniqueMethodVocabularyTextChallengesChapter 3 Core Informatics Technologies: Data Storage
Nadkarni P. Chapter 3 Core Informatics Technologies: Data Storage. 2016, 49-84. DOI: 10.1016/b978-0-12-803130-8.00003-8.Peer-Reviewed Original ResearchInformation retrievalData elementsText information retrievalInformatics/computer scienceRetrieval of dataIndexing technologyUnstructured textRelational databaseDatabase indexResearch computingComputer scienceData storageRetrievalLarge volumesEfficient operationTechnologyNoSQLComputingQueriesBrief introductionCritical componentStorageProcessingTechnological armamentariumDatabase
2011
Data standards for clinical research data collection forms: current status and challenges
Richesson R, Nadkarni P. Data standards for clinical research data collection forms: current status and challenges. Journal Of The American Medical Informatics Association 2011, 18: 341-346. PMID: 21486890, PMCID: PMC3078665, DOI: 10.1136/amiajnl-2011-000107.Peer-Reviewed Original ResearchConceptsClinical Research InformaticsStandards adoptionWorkflow supportStructured data collectionData itemsResearch informaticsData standardsTool requirementsStandards effortsSuch toolsTerminological standardsResearch data collectionClinical research applicationsContent standardsData collectionInteroperabilityCase report formsResearch applicationsAdoptionInformaticsResearch activitiesRetrievalToolFormal relationshipReuse
2003
Integrating 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
1998
Data Extraction and Ad Hoc Query of an Entity—Attribute—Value Database
Nadkarni P, Brandt C. Data Extraction and Ad Hoc Query of an Entity—Attribute—Value Database. Journal Of The American Medical Informatics Association 1998, 5: 511-527. PMID: 9824799, PMCID: PMC61332, DOI: 10.1136/jamia.1998.0050511.Peer-Reviewed Original ResearchConceptsElectronic patient record systemQuery problemAd-Hoc QueriesReal-time retrievalPatient record systemData warehousingEntity attributesComplex subproblemsData retrievalQueriesValue databaseRecord systemSuch systemsRetrievalValue tablePatient dataFront endAttributesMetadataWarehousingDatabaseUsersData extractionSubproblemsIndividual attributes
1997
QAV: 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 ResearchConceptsData retrievalClient-server applicationsGraphical front endSet-based queriesMetadata repositorySQL statementsData organizationKnowledge representationBiomedical databasesRetrievalProduction applicationsFront endQueriesServerMetadataDatabaseUsersRepositoryDatasetApplicationsRelation formRepresentation