2021
Extracting postmarketing adverse events from safety reports in the vaccine adverse event reporting system (VAERS) using deep learning
Du J, Xiang Y, Sankaranarayanapillai M, Zhang M, Wang J, Si Y, Pham H, Xu H, Chen Y, Tao C. Extracting postmarketing adverse events from safety reports in the vaccine adverse event reporting system (VAERS) using deep learning. Journal Of The American Medical Informatics Association 2021, 28: 1393-1400. PMID: 33647938, PMCID: PMC8279785, DOI: 10.1093/jamia/ocab014.Peer-Reviewed Original ResearchConceptsDeep learning algorithmsLearning-based methodsVaccine Adverse Event Reporting SystemLearning algorithmArt deep learning algorithmsDeep learning-based methodsConventional machine learning-based methodsMachine learning-based methodsConventional machine learningAdverse Event Reporting SystemGuillain-Barré syndromeLarge modelsAdverse eventsEvent Reporting SystemVAERS reportsDeep learningMachine learningEntity recognitionPeer modelInfluenza vaccine safetyNervous system disordersExact matchVaccine adverse eventsSafety reportsReporting system
2012
Detecting 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