2024
Machine Learning-Based Prediction of Death and Hospitalization in Patients With Implantable Cardioverter Defibrillators
Rosman L, Lampert R, Wang K, Gehi A, Dziura J, Salmoirago-Blotcher E, Brandt C, Sears S, Burg M. Machine Learning-Based Prediction of Death and Hospitalization in Patients With Implantable Cardioverter Defibrillators. Journal Of The American College Of Cardiology 2024 PMID: 39570241, DOI: 10.1016/j.jacc.2024.09.006.Peer-Reviewed Original ResearchImplantable cardioverter-defibrillatorYear of device implantationAll-cause mortalityCardiac resynchronization therapyDeath/HF hospitalizationValidation cohortHeart failureDevice implantationTime of ICD implantationArea under the receiver-operating characteristic curveMedian follow-upReceiver-operating characteristic curvePredicting all-cause mortalityImplantable cardioverter-defibrillator patientsVeterans Health AdministrationPersonalized risk estimatesImplantable cardioverter defibrillatorResynchronization therapyBaseline demographicsICD implantationTraining cohortTrajectories of individual patientsProspective studyComposite outcomeContinuum of risk
2019
Identifying Opioid Use Disorder in the Emergency Department: Multi-System Electronic Health Record–Based Computable Phenotype Derivation and Validation Study
Chartash D, Paek H, Dziura JD, Ross BK, Nogee DP, Boccio E, Hines C, Schott AM, Jeffery MM, Patel MD, Platts-Mills TF, Ahmed O, Brandt C, Couturier K, Melnick E. Identifying Opioid Use Disorder in the Emergency Department: Multi-System Electronic Health Record–Based Computable Phenotype Derivation and Validation Study. JMIR Medical Informatics 2019, 7: e15794. PMID: 31674913, PMCID: PMC6913746, DOI: 10.2196/15794.Peer-Reviewed Original ResearchOpioid use disorderNegative predictive valuePositive predictive valueEmergency department patientsEmergency departmentUse disordersHealth care systemPredictive valueComputable phenotypeExternal validation phasesDepartment patientsCare systemPhysician chart reviewLarge health care systemExternal validation cohortEmergency medicine physiciansHigh predictive valueElectronic health recordsChart reviewChief complaintValidation cohortPragmatic trialClinical dataBilling codesMedicine physicians