2013
Development of an ensemble resource linking MEDications to their Indications (MEDI).
Wei W, Cronin R, Xu H, Lasko T, Bastarache L, Denny J. Development of an ensemble resource linking MEDications to their Indications (MEDI). AMIA Joint Summits On Translational Science Proceedings 2013, 2013: 172. PMID: 24303333.Peer-Reviewed Original ResearchAnalyzing differences between chinese and english clinical text: a cross-institution comparison of discharge summaries in two languages.
Wu Y, Lei J, Wei W, Tang B, Denny J, Rosenbloom S, Miller R, Giuse D, Zheng K, Xu H. Analyzing differences between chinese and english clinical text: a cross-institution comparison of discharge summaries in two languages. 2013, 192: 662-6. PMID: 23920639, PMCID: PMC4957806.Peer-Reviewed Original ResearchConceptsNatural language processing toolsEnglish clinical textClinical textLanguage processing toolsChinese clinical textCultural differencesMajor clinical componentsTextWestern institutionsInpatient discharge summariesCross-country collaborationDocument levelProcessing toolsClinical documentsLanguageUS institutionsUsesUnprecedented amountValuable insightsInstitutionsDocumentsChinaWorldwide adoptionEMR dataCollaboration
2012
A study of transportability of an existing smoking status detection module across institutions.
Liu M, Shah A, Jiang M, Peterson N, Dai Q, Aldrich M, Chen Q, Bowton E, Liu H, Denny J, Xu H. A study of transportability of an existing smoking status detection module across institutions. AMIA Annual Symposium Proceedings 2012, 2012: 577-86. PMID: 23304330, PMCID: PMC3540509.Peer-Reviewed Original ResearchConceptsDetection moduleNatural language processing systemsKnowledge Extraction SystemEMR dataRule-based classifierClinical Text AnalysisHighest F-measureLanguage processing systemElectronic medical recordsF-measureLevels of classificationProcessing systemSpecific tasksText analysisClassifierDesirable performanceModuleModest effortExtraction systemCTAKESSmoking moduleMachineSystemTaskClassificationDetecting Adverse Drug Reactions using Inpatient Medication Orders and Laboratory Tests Data
Liu M, Matheny M, Wu Y, Hinz E, Denny J, Schildcrout J, Miller R, Xu H. Detecting Adverse Drug Reactions using Inpatient Medication Orders and Laboratory Tests Data. 2012, 1: 131-131. DOI: 10.1109/hisb.2012.56.Peer-Reviewed Original ResearchAdverse drug reactionsElectronic medical recordsSpontaneous reporting systemProportional reporting ratioDrug reactionsMedication ordersDrug ordersInpatient medication ordersAbnormal laboratory resultsTime of admissionDrug-exposed groupChi-square testLaboratory resultsGamma Poisson ShrinkerUnexposed groupMedical recordsOdds ratioMedication safetyPatient harmBayesian confidence propagation neural networkEarly detectionReporting ratioEMR dataDay zeroReporting system