2023
Using Multi-Modal Electronic Health Record Data for the Development and Validation of Risk Prediction Models for Long COVID Using the Super Learner Algorithm
Jin W, Hao W, Shi X, Fritsche L, Salvatore M, Admon A, Friese C, Mukherjee B. Using Multi-Modal Electronic Health Record Data for the Development and Validation of Risk Prediction Models for Long COVID Using the Super Learner Algorithm. Journal Of Clinical Medicine 2023, 12: 7313. PMID: 38068365, PMCID: PMC10707399, DOI: 10.3390/jcm12237313.Peer-Reviewed Original ResearchComposite risk scoreRisk scoreElectronic health recordsAnalyses identified several factorsValidation of risk prediction modelsModerate discriminatory abilityRisk prediction modelPost-acute sequelae of COVID-19Health recordsCombined risk scorePost-acuteIdentification of individualsPrevention effortsSuper Learner algorithmMedical recordsHealthcare challengesPublic healthMedical phenotypesCOVID-19Increased riskPredictive factorsCOVID-19 infectionRecord DataPost-acute sequelaeHigh risk
2021
Understanding the Patterns of Serological Testing for COVID-19 Pre- and Post-Vaccination Rollout in Michigan
Zhao Z, Salerno S, Shi X, Lee S, Mukherjee B, Fritsche L. Understanding the Patterns of Serological Testing for COVID-19 Pre- and Post-Vaccination Rollout in Michigan. Journal Of Clinical Medicine 2021, 10: 4341. PMID: 34640359, PMCID: PMC8509702, DOI: 10.3390/jcm10194341.Peer-Reviewed Original ResearchNon-Hispanic black race/ethnicityRegional health centersEver-smoking statusHealth centersBlack race/ethnicityAssociated with ageCirculatory diseasesSARS-CoV-2 antibody testingMichigan MedicinePre-existing conditionsNeighborhood variablesCOVID-19SARS-CoV-2 antibodiesSARS-CoV-2Vaccinated individualsVaccine-induced immunityRespiratory diseaseIndividualsCOVID-19 infectionExploratory analysisLiver diseaseAgeSerological tests