2024
Medical Concept Normalization
Xu H, Demner Fushman D, Hong N, Raja K. Medical Concept Normalization. Cognitive Informatics In Biomedicine And Healthcare 2024, 137-164. DOI: 10.1007/978-3-031-55865-8_6.Peer-Reviewed Original ResearchConcept normalizationDeep learning-based techniquesMedical concept normalizationLearning-based techniquesContemporary machine learningRule-based methodologyAnnotated corpusNLP systemsMachine learningComputing applicationsBiomedical terminologiesNormalization approachStandardized terminologyOntologyTaskLearningDevelopment of Clinical NLP Systems
Xu H, Demner Fushman D. Development of Clinical NLP Systems. Cognitive Informatics In Biomedicine And Healthcare 2024, 301-324. DOI: 10.1007/978-3-031-55865-8_11.Peer-Reviewed Original Research
2019
Developing Customizable Cancer Information Extraction Modules for Pathology Reports Using CLAMP
Soysal E, Warner J, Wang J, Jiang M, Harvey K, Jain S, Dong X, Song H, Siddhanamatha H, Wang L, Dai Q, Chen Q, Du X, Tao C, Yang P, Denny J, Liu H, Xu H. Developing Customizable Cancer Information Extraction Modules for Pathology Reports Using CLAMP. 2019, 264: 1041-1045. PMID: 31438083, PMCID: PMC7359882, DOI: 10.3233/shti190383.Peer-Reviewed Original ResearchConceptsElectronic health recordsNLP solutionNatural language processing technologyInformation extraction moduleLanguage processing technologyInformation extraction tasksUser-friendly interfaceBest F-measureInformation extractionExtraction moduleExtraction taskCustomizable modulesNLP systemsF-measureAcademic useHealth recordsComparable performanceProcessing technologyVanderbilt University Medical CenterModuleDiverse typesInformationNLPSubstantial effortSystem
2016
A long journey to short abbreviations: developing an open-source framework for clinical abbreviation recognition and disambiguation (CARD)
Wu Y, Denny J, Rosenbloom S, Miller R, Giuse D, Wang L, Blanquicett C, Soysal E, Xu J, Xu H. A long journey to short abbreviations: developing an open-source framework for clinical abbreviation recognition and disambiguation (CARD). Journal Of The American Medical Informatics Association 2016, 24: e79-e86. PMID: 27539197, PMCID: PMC7651947, DOI: 10.1093/jamia/ocw109.Peer-Reviewed Original ResearchConceptsClinical NLP systemsOpen-source frameworkNLP systemsClinical corpusClinical abbreviationsClinic visit notesSense inventoryKnowledge Extraction SystemAbbreviation recognitionWord sense disambiguation methodDischarge summariesF1 scoreExternal corpusClinical narrativesSense disambiguation methodSystem capabilitiesVanderbilt University Medical CenterWrapperFrequent abbreviationsDisambiguation methodMetaMapAbbreviation identificationCardsVisit notesDisambiguation
2015
Ease of adoption of clinical natural language processing software: An evaluation of five systems
Zheng K, Vydiswaran V, Liu Y, Wang Y, Stubbs A, Uzuner Ö, Gururaj A, Bayer S, Aberdeen J, Rumshisky A, Pakhomov S, Liu H, Xu H. Ease of adoption of clinical natural language processing software: An evaluation of five systems. Journal Of Biomedical Informatics 2015, 58: s189-s196. PMID: 26210361, PMCID: PMC4974203, DOI: 10.1016/j.jbi.2015.07.008.Peer-Reviewed Original ResearchConceptsClinical NLP systemsNLP systemsNatural language processing softwareThird-party componentsUsability testing toolGroup of usersLanguage processing softwareEase of adoptionExpert evaluatorsSoftware distributionBiomedical softwareComputer scienceEnd usersUsability assessmentI2b2 challengeTesting toolsEvaluation showHuman evaluatorsSystem submissionsEase of useHealth informaticsProcessing softwareAdoption issuesUsersSpecial trackA Preliminary Study of Clinical Abbreviation Disambiguation in Real Time
Wu Y, Denny J, Rosenbloom S, Miller R, Giuse D, Song M, Xu H. A Preliminary Study of Clinical Abbreviation Disambiguation in Real Time. Applied Clinical Informatics 2015, 06: 364-374. PMID: 26171081, PMCID: PMC4493336, DOI: 10.4338/aci-2014-10-ra-0088.Peer-Reviewed Original ResearchConceptsElectronic health record systemsUser studyClinical documentation systemNatural language processing systemsClinical NLP systemsPreliminary user studyAbbreviation recognitionExtra time costLanguage processing systemWSD methodHealth record systemsDocumentation systemPrototype applicationWord sense disambiguation methodNLP systemsCorrect sensesNote generationPrototype systemClinical sentencesCost of timeClinical documentsDocument entryDisambiguation moduleSense disambiguation methodHealthcare records
2014
Open Source Clinical NLP - More than Any Single System.
Masanz J, Pakhomov S, Xu H, Wu S, Chute C, Liu H. Open Source Clinical NLP - More than Any Single System. AMIA Joint Summits On Translational Science Proceedings 2014, 2014: 76-82. PMID: 25954581, PMCID: PMC4419764.Peer-Reviewed Original ResearchClinical NLPNLP systemsNatural language processing toolsOpen source softwareLanguage processing toolsInformation technology practicesPluggable componentsSource softwareNLP softwareProcessing capabilitiesProcessing toolsResearch communityNLPCollaborative communitySingle systemSoftwareTechnology practicesNLP activityUIMAAnnotatorsSystemApacheOngoing activityFrameworkCapability
2013
A prototype application for real-time recognition and disambiguation of clinical abbreviations
Wu Y, Denny J, Rosenbloom S, Miller R, Giuse D, Song M, Xu H. A prototype application for real-time recognition and disambiguation of clinical abbreviations. 2013, 7-8. DOI: 10.1145/2512089.2512096.Peer-Reviewed Original ResearchElectronic health record systemsPrototype applicationClinical documentation systemNatural language processing systemsClinical abbreviationsClinical NLP systemsReal-time recognitionLanguage processing systemAverage response timeHealth record systemsDocumentation systemResponse timeWord sense disambiguation methodNLP systemsNote generationPrototype systemClinical documentsSense disambiguation methodHealthcare recordsProcessing systemAbbreviation disambiguationCard systemDisambiguation methodAbbreviation recognitionSystem design
2012
Recognition of medication information from discharge summaries using ensembles of classifiers
Doan S, Collier N, Xu H, Duy P, Phuong T. Recognition of medication information from discharge summaries using ensembles of classifiers. BMC Medical Informatics And Decision Making 2012, 12: 36. PMID: 22564405, PMCID: PMC3502425, DOI: 10.1186/1472-6947-12-36.Peer-Reviewed Original ResearchMeSH KeywordsAlgorithmsArtificial IntelligenceDecision Support TechniquesFemaleHumansInformation Storage and RetrievalInstitutional Management TeamsMaleMedication SystemsNatural Language ProcessingPatient DischargePattern Recognition, AutomatedPharmaceutical PreparationsReproducibility of ResultsSemanticsSoftware DesignSupport Vector MachineConceptsConditional Random FieldsNatural language processingClinical natural language processingSupport vector machineBest F-scoreEnsemble classifierF-scoreClinical textIndividual classifiersVoting methodMajority votingLocal support vector machineSupervised machine learning methodsClinical entity recognitionClinical NLP systemsDifferent voting strategiesEntity recognition systemRule-based systemEnsemble of classifiersMachine learning methodsRule-based methodI2b2 NLP challengeEntity recognitionRecognition systemNLP systemsPortability of an algorithm to identify rheumatoid arthritis in electronic health records
Carroll R, Thompson W, Eyler A, Mandelin A, Cai T, Zink R, Pacheco J, Boomershine C, Lasko T, Xu H, Karlson E, Perez R, Gainer V, Murphy S, Ruderman E, Pope R, Plenge R, Kho A, Liao K, Denny J. Portability of an algorithm to identify rheumatoid arthritis in electronic health records. Journal Of The American Medical Informatics Association 2012, 19: e162-e169. PMID: 22374935, PMCID: PMC3392871, DOI: 10.1136/amiajnl-2011-000583.Peer-Reviewed Original Research
2009
Development of a natural language processing system to identify timing and status of colonoscopy testing in electronic medical records.
Denny J, Peterson J, Choma N, Xu H, Miller R, Bastarache L, Peterson N. Development of a natural language processing system to identify timing and status of colonoscopy testing in electronic medical records. AMIA Annual Symposium Proceedings 2009, 2009: 141. PMID: 20351837, PMCID: PMC2815478.Peer-Reviewed Original ResearchConceptsNatural language processingNatural language processing systemsElectronic medical recordsLanguage processing systemNLP systemsIdentifier systemLanguage processingMedical recordsProcessing systemElectronic textsColorectal cancer screening ratesCancer screening ratesPrimary care populationColonoscopy testingScreening ratesCare populationBilling codesQueriesColonoscopySystemStatus indicatorsAlgorithmCodeProcessingStatus
2007
A study of abbreviations in clinical notes.
Xu H, Stetson P, Friedman C. A study of abbreviations in clinical notes. AMIA Annual Symposium Proceedings 2007, 2007: 821-5. PMID: 18693951, PMCID: PMC2655910.Peer-Reviewed Original ResearchConceptsUnified Medical Language SystemNatural language processing systemsLanguage processing systemNarrative clinical notesDetection methodClinical notesDifferent knowledge sourcesSense inventoryDomain expertsNLP systemsCorrect sensesDecision supportText corporaKnowledge sourcesError detectionProcessing systemBiomedical literatureStudy of abbreviationsLanguage systemPatient informationAmbiguity rateBetter detection methodsDatabaseAnnotationAbbreviations
2006
Natural language processing and visualization in the molecular imaging domain
Tulipano P, Tao Y, Millar W, Zanzonico P, Kolbert K, Xu H, Yu H, Chen L, Lussier Y, Friedman C. Natural language processing and visualization in the molecular imaging domain. Journal Of Biomedical Informatics 2006, 40: 270-281. PMID: 17084109, DOI: 10.1016/j.jbi.2006.08.002.Peer-Reviewed Original ResearchMeSH KeywordsAnimalsCell LineComputational BiologyDatabases, BibliographicDatabases, GeneticDiagnostic ImagingGenomicsHumansInformation Storage and RetrievalNatural Language ProcessingPhenotypeProgramming LanguagesSoftwareSystems IntegrationTerminology as TopicUser-Computer InterfaceVocabulary, ControlledConceptsImaging domainNatural language processing systemsNatural language processingLanguage processing systemJava viewerNLP systemsFormal evaluation studiesLanguage processingInformation resourcesProcessing systemMedical imagingIndex imagesSystem performanceBiological informationInformationImagesVisualizationBioMedLEEPerformanceNLPEvaluation studyDomainGenomics literatureSystemSimultaneous visualization