2005
Automating identification of adverse events related to abnormal lab results using standard vocabularies.
Brandt CA, Lu CC, Nadkarni PM. Automating identification of adverse events related to abnormal lab results using standard vocabularies. AMIA Annual Symposium Proceedings 2005, 2005: 903. PMID: 16779190, PMCID: PMC1560626.Peer-Reviewed Original Research
2004
Integration of Web-based and PC-based Clinical Research Databases
Brandt CA, Sun K, Charpentier P, Nadkarni PM. Integration of Web-based and PC-based Clinical Research Databases. Methods Of Information In Medicine 2004, 43: 287-295. PMID: 15227559, DOI: 10.1055/s-0038-1633870.Peer-Reviewed Original ResearchMeSH KeywordsAgedBiomedical ResearchDatabase Management SystemsGeriatricsHumansInformation Storage and RetrievalInternetMicrocomputersSystems IntegrationUnified Medical Language SystemUnited StatesUser-Computer InterfaceConceptsDatabase applicationsClinical study data management systemsIntegration of applicationsCommon semantic modelData management systemWeb-based repositoryClinical research databaseSchema conflictsSharing of featuresData managementMapping schemaSemantic modelDifferent operating environmentsModel unificationManagement systemIntegration effortsOperating environmentArea of applicabilityData collectionMajor benefitsSimilar purposesIntegrationApplicationsCritical conflictsData libraries
2001
Use of General-purpose Negation Detection to Augment Concept Indexing of Medical Documents
Mutalik P, Deshpande A, Nadkarni P. Use of General-purpose Negation Detection to Augment Concept Indexing of Medical Documents. Journal Of The American Medical Informatics Association 2001, 8: 598-609. PMID: 11687566, PMCID: PMC130070, DOI: 10.1136/jamia.2001.0080598.Peer-Reviewed Original ResearchMeSH KeywordsAbstracting and IndexingInformation Storage and RetrievalMedical RecordsNatural Language ProcessingProgramming LanguagesSoftwareUnified Medical Language SystemConceptsNegation detectionMedical documentsUMLS conceptsProgramming language compilersFinite state machinesLanguage compilerConcept indexingMedical narrativesContext-free grammarsConcept matchingLexical scannerAbsence of negationDifferent test setsFormal languageState machinesRegular expressionsReliability of detectionDiverse training setConcept IDsTraining setParserHuman observationTest setLarge setHuman observersWeb-based UMLS concept retrieval by automatic text scanning: a comparison of two methods
Brandt C, Nadkarni P. Web-based UMLS concept retrieval by automatic text scanning: a comparison of two methods. Computer Methods And Programs In Biomedicine 2001, 64: 37-43. PMID: 11084231, DOI: 10.1016/s0169-2607(00)00092-4.Peer-Reviewed Original ResearchMeSH KeywordsArtificial IntelligenceDatabases, FactualInformation Storage and RetrievalInternetProgramming LanguagesUnified Medical Language SystemUser-Computer InterfaceConceptsWeb applicationActive server pages (ASP) technologyAppropriate programming environmentApplication deliveryDatabase engineCode portabilityScripting environmentRelational databaseWeb developmentDevelopment environmentProgramming environmentConcept retrievalText scanningPage technologySuch functionalityRobust languageVendor implementationsRapid prototypingIdentical applicationsMedium of choiceEasy accessEnvironmentLispMaintainabilityApplicationsUMLS 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 ResearchAbstracting and IndexingAlgorithmsFeasibility StudiesUnified Medical Language SystemVocabulary, Controlled
2000
The Yale Center for Medical Informatics: clinical, neuro- and genomic informatics.
Miller PL, Brandt C, Cheung K, Mattie M, Nadkarni P, Shiffman RN. The Yale Center for Medical Informatics: clinical, neuro- and genomic informatics. M.D. Computing 2000, 17: 29-32. PMID: 11014075.Peer-Reviewed Original ResearchAcademic Medical CentersClinical MedicineConnecticutGeneticsHumansInternetMedical Informatics ComputingNeurologyUnified Medical Language System
1997
Concept Locator: A Client-Server Application for Retrieval of UMLS Metathesaurus Concepts through Complex Boolean Query
Nadkarni P. Concept Locator: A Client-Server Application for Retrieval of UMLS Metathesaurus Concepts through Complex Boolean Query. Journal Of Biomedical Informatics 1997, 30: 323-336. PMID: 9339325, DOI: 10.1006/cbmr.1997.1433.Peer-Reviewed Original ResearchMeSH KeywordsDatabase Management SystemsInformation Storage and RetrievalProgramming LanguagesUnified Medical Language SystemVocabulary, ControlledConceptsClient-server applicationsQuery expressionsQuery optimizerRelational database serverPurpose of retrievalComplex Boolean queriesMore SQL statementsComplex Boolean expressionsUMLS Metathesaurus conceptsDatabase serverBoolean queriesSQL statementsWildcard patternsUMLS MetathesaurusMetathesaurus conceptsBoolean expressions