2017
Literature-Based Discovery of Confounding in Observational Clinical Data.
Malec S, Wei P, Xu H, Bernstam E, Myneni S, Cohen T. Literature-Based Discovery of Confounding in Observational Clinical Data. AMIA Annual Symposium Proceedings 2017, 2016: 1920-1929. PMID: 28269951, PMCID: PMC5333204.Peer-Reviewed Original Research
2012
Comparative analysis of pharmacovigilance methods in the detection of adverse drug reactions using electronic medical records
Liu M, Hinz E, Matheny M, Denny J, Schildcrout J, Miller R, Xu H. Comparative analysis of pharmacovigilance methods in the detection of adverse drug reactions using electronic medical records. Journal Of The American Medical Informatics Association 2012, 20: 420-426. PMID: 23161894, PMCID: PMC3628053, DOI: 10.1136/amiajnl-2012-001119.Peer-Reviewed Original ResearchConceptsAdverse drug reactionsElectronic medical recordsProportional reporting ratioVanderbilt University Medical CenterSpontaneous reporting systemDrug-event pairsDrug reactionsMedical recordsMedication ordersAbnormal laboratory resultsDrug-exposed groupNew adverse drug reactionsUniversity Medical CenterSpecific drug administrationReference standardLaboratory resultsUnexposed groupGamma Poisson ShrinkerMedical CenterPatient harmDrug AdministrationPharmacovigilance measuresBayesian confidence propagation neural networkEarly detectionReporting ratio