2021
Calibrating predictive model estimates in a distributed network of patient data
Huang Y, Jiang X, Gabriel R, Ohno-Machado L. Calibrating predictive model estimates in a distributed network of patient data. Journal Of Biomedical Informatics 2021, 117: 103758. PMID: 33811986, DOI: 10.1016/j.jbi.2021.103758.Peer-Reviewed Original ResearchConceptsData privacyRecalibration modelHigh-performance predictive modelsIntegration of dataPatient dataPredictive model estimatesDistributed networkExpected calibration errorMaximum calibration errorPrivacyClinical informaticsCalibration errorsComputational efficiencyPredictive analysisAlgorithmBuilding modelsModel buildingImportant issuePerformance measuresPredictive modelMultiple health systemsLarge numberIsotonic regressionInformaticsSystem
2020
Big Data in Transplantation Practice-the Devil Is in the Detail-Fontan-associated Liver Disease.
Kim M, Nguyen A, Lo M, Kumar S, Bucuvalas J, Glynn E, Hoffman M, Fischer R, Emamaullee J. Big Data in Transplantation Practice-the Devil Is in the Detail-Fontan-associated Liver Disease. Transplantation 2020, 105: 18-22. PMID: 32639398, DOI: 10.1097/tp.0000000000003308.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge FactorsAgedAged, 80 and overBig DataChildChild, PreschoolData CollectionData MiningDatabases, FactualFemaleFontan ProcedureHeart Defects, CongenitalHumansInfantInfant, NewbornLiver DiseasesLiver TransplantationMaleMiddle AgedRisk AssessmentRisk FactorsTreatment OutcomeYoung AdultConceptsFontan-associated liver diseasePatients post-FontanPost-FontanLiver diseaseSingle-ventricle heart diseaseHeart-liver transplantationProgressive hepatic fibrosisMultiple health systemsConsequences of chronic exposureFontan procedureFontan RegistryNoncardiac complicationsHeart-liverTime of heartFontan hemodynamicsLiver transplantationHepatocellular carcinomaFontanHepatic fibrosisIndividual patientsHeart diseasePatientsHealth systemAffected childrenTransplantation
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