2016
Electronic approaches to making sense of the text in the adverse event reporting system
Benin AL, Fodeh SJ, Lee K, Koss M, Miller P, Brandt C. Electronic approaches to making sense of the text in the adverse event reporting system. Journal Of Healthcare Risk Management 2016, 36: 10-20. PMID: 27547874, DOI: 10.1002/jhrm.21237.Peer-Reviewed Original ResearchConceptsRule-based queryMachine learningUse casesSemi-supervised machine learningWeb-based software toolSoftware systemsSoftware toolsHigh recallQueriesRich informationElectronic approachRobust programEvent reportsDaily workLearningImportant dataHigh precisionReporting systemInformationTextMachineSystemEvent Reporting SystemAdverse Event Reporting SystemError
2015
Classification of radiology reports for falls in an HIV study cohort
Bates J, Fodeh SJ, Brandt CA, Womack JA. Classification of radiology reports for falls in an HIV study cohort. Journal Of The American Medical Informatics Association 2015, 23: e113-e117. PMID: 26567329, PMCID: PMC4954638, DOI: 10.1093/jamia/ocv155.Peer-Reviewed Original ResearchConceptsFeature selectionMutual informationSVM classifierUnified Medical Language System (UMLS) conceptsSupport vector machine classifierRadiology reportsFeature selection approachStructured electronic health record dataFeature selection methodVector machine classifierMachine learningNumber of featuresSupervised machineDiscriminative featuresFeature setsMachine classifierVACS-VCClassifier performanceStudy cohortClassifierSelection approachElectronic health record dataCurve scoreVeterans Aging Cohort Study Virtual CohortSelection method