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 ResearchMeSH KeywordsAlgorithmsDocumentationEmergency Medical ServicesEmergency MedicineHumansMachine LearningMedical InformaticsNatural Language ProcessingConceptsNatural 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 LettersMeSH KeywordsAlgorithmsDatabases, BibliographicElectronic Health RecordsInformation Storage and RetrievalNatural Language Processing
2011
Overcoming barriers to NLP for clinical text: the role of shared tasks and the need for additional creative solutions
Chapman W, Nadkarni P, Hirschman L, D'Avolio L, Savova G, Uzuner O. Overcoming barriers to NLP for clinical text: the role of shared tasks and the need for additional creative solutions. Journal Of The American Medical Informatics Association 2011, 18: 540-543. PMID: 21846785, PMCID: PMC3168329, DOI: 10.1136/amiajnl-2011-000465.Peer-Reviewed Original ResearchData MiningDecision Support Systems, ClinicalElectronic Health RecordsHumansNatural Language Processing
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 improvementStepAccuracy
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 observers