2023
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
2022
Midwest rural‐urban disparities in use of patient online services for COVID‐19
Huang M, Wen A, He H, Wang L, Liu S, Wang Y, Zong N, Yu Y, Prigge J, Costello B, Shah N, Ting H, Doubeni C, Fan J, Liu H, Patten C. Midwest rural‐urban disparities in use of patient online services for COVID‐19. The Journal Of Rural Health 2022, 38: 908-915. PMID: 35261092, PMCID: PMC9115171, DOI: 10.1111/jrh.12657.Peer-Reviewed Original ResearchMeSH KeywordsAdultCOVID-19COVID-19 TestingFemaleHumansPandemicsPatient ParticipationRural PopulationConceptsRural patientsUrban patientsCOVID-19Sociodemographic factorsCOVID-19-related careUrban-rural ratioMidwest health systemMayo Clinic patientsPatient sociodemographic factorsHealth carePublic health intervention strategiesHealth intervention strategiesCOVID-19 diagnosisHealth care issuesClinic patientsRural-urban disparitiesPatient portalsPatientsPortal messagesPatient engagementUrban-rural disparitiesCare issuesHealth systemUrban-rural localityIntervention strategies
2020
An aberration detection-based approach for sentinel syndromic surveillance of COVID-19 and other novel influenza-like illnesses
Wen A, Wang L, He H, Liu S, Fu S, Sohn S, Kugel J, Kaggal V, Huang M, Wang Y, Shen F, Fan J, Liu H. An aberration detection-based approach for sentinel syndromic surveillance of COVID-19 and other novel influenza-like illnesses. Journal Of Biomedical Informatics 2020, 113: 103660. PMID: 33321199, PMCID: PMC7832634, DOI: 10.1016/j.jbi.2020.103660.Peer-Reviewed Original ResearchMeSH KeywordsCOVID-19Deep LearningDisease OutbreaksHumansInfluenza, HumanSARS-CoV-2Sentinel SurveillanceConceptsInfluenza-like illness