An open natural language processing (NLP) framework for EHR-based clinical research: a case demonstration using the National COVID Cohort Collaborative (N3C)
Liu S, Wen A, Wang L, He H, Fu S, Miller R, Williams A, Harris D, Kavuluru R, Liu M, Abu-el-Rub N, Schutte D, Zhang R, Rouhizadeh M, Osborne J, He Y, Topaloglu U, Hong S, Saltz J, Schaffter T, Pfaff E, Chute C, Duong T, Haendel M, Fuentes R, Szolovits P, Xu H, Liu H. An open natural language processing (NLP) framework for EHR-based clinical research: a case demonstration using the National COVID Cohort Collaborative (N3C). Journal Of The American Medical Informatics Association 2023, 30: 2036-2040. PMID: 37555837, PMCID: PMC10654844, DOI: 10.1093/jamia/ocad134.Peer-Reviewed Original ResearchConceptsNatural language processingNLP modelsClinical natural language processingNatural language processing frameworkEHR-based clinical researchMulti-site settingSymptom extractionProcessing frameworkNLP frameworkLanguage processingNLP solutionMulti-site dataAlgorithm robustnessMethodology advancementsResearch communityTranslational research communityNational COVID Cohort CollaborativeCase demonstrationProcess heterogeneityFrameworkAnnotationCOVID cohort