2021
Leveraging a health information exchange for analyses of COVID-19 outcomes including an example application using smoking history and mortality
Tortolero G, Brown M, Sharma S, de Oliveira Otto M, Yamal J, Aguilar D, Gunther M, Mofleh D, Harris R, John J, de Vries P, Ramphul R, Serbo D, Kiger J, Banerjee D, Bonvino N, Merchant A, Clifford W, Mikhail J, Xu H, Murphy R, Wei Q, Vahidy F, Morrison A, Boerwinkle E. Leveraging a health information exchange for analyses of COVID-19 outcomes including an example application using smoking history and mortality. PLOS ONE 2021, 16: e0247235. PMID: 34081724, PMCID: PMC8174716, DOI: 10.1371/journal.pone.0247235.Peer-Reviewed Original ResearchConceptsBody mass indexCOVID-19 patientsRisk factorsTobacco useCOVID-19 fatalitiesHealth information exchangeRace/ethnicityCOVID-19Laboratory risk factorsNumber of comorbiditiesCOVID-19 cohortMultivariable logistic regressionImportant risk factorPotential risk factorsCOVID-19 outcomesFormer tobacco usersTobacco use historyLarge health information exchangeMass indexElectronic health record systemsUnfavorable outcomeClinical dataTobacco usersOutcome analysisElectronic health information
2011
Modeling drug exposure data in electronic medical records: an application to warfarin.
Liu M, Jiang M, Kawai V, Stein C, Roden D, Denny J, Xu H. Modeling drug exposure data in electronic medical records: an application to warfarin. AMIA Annual Symposium Proceedings 2011, 2011: 815-23. PMID: 22195139, PMCID: PMC3243123.Peer-Reviewed Original ResearchConceptsNatural language processingMachine learning technologiesElectronic medical recordsDrug exposure informationLearning technologyLanguage processingTemporal informationInformatics frameworkClinical narrativesDrug mentionsMedical recordsDrug exposure dataFrameworkReceiver operator characteristic curveDrug exposure historyInformationDrug-related researchWarfarin exposureDrug regimensHospital admissionDrug exposureAccurate modelingDrug informationExposure informationExposure data