Using Machine Learning Applied to Real-World Healthcare Data for Predictive Analytics: An Applied Example in Bariatric Surgery
Johnston SS, Morton JM, Kalsekar I, Ammann EM, Hsiao CW, Reps J. Using Machine Learning Applied to Real-World Healthcare Data for Predictive Analytics: An Applied Example in Bariatric Surgery. Value In Health 2019, 22: 580-586. PMID: 31104738, DOI: 10.1016/j.jval.2019.01.011.Peer-Reviewed Original ResearchMeSH KeywordsBariatric SurgeryDatabases, FactualDiabetes Mellitus, Type 2FemaleHumansHypoglycemic AgentsInsurance Claim ReviewMachine LearningMaleMiddle AgedConceptsLarge US healthcare claims databasesLaparoscopic metabolic surgeryHealthcare claims databasesType 2 diabetesStudy inclusion criteriaLogistic regression modelsDays postindexMedication cessationBariatric surgeryMetabolic surgeryT2D diagnosisCessation ratesPatient selectionMedication treatmentClaims databaseInclusion criteriaTreatment responseDiscriminative accuracyPatientsExternal validationSurgeryRegression modelsHealthcare dataTreatmentUseful predictive models