Simplified Machine Learning Models Can Accurately Identify High-Need High-Cost Patients With Inflammatory Bowel Disease
Nguyen N, Patel S, Gabunilas J, Qian A, Cecil A, Jairath V, Sandborn W, Ohno-Machado L, Chen P, Singh S. Simplified Machine Learning Models Can Accurately Identify High-Need High-Cost Patients With Inflammatory Bowel Disease. Clinical And Translational Gastroenterology 2022, 13: e00507. PMID: 35905414, PMCID: PMC10476830, DOI: 10.14309/ctg.0000000000000507.Peer-Reviewed Original ResearchConceptsInflammatory bowel diseaseUnplanned healthcare utilizationAdult patientsBowel diseaseHealthcare utilizationHealthcare costsLogistic regressionRetrospective cohort studyNationwide Readmissions DatabaseIdentification of patientsAdministrative claims dataHigh-cost patientsHNHC patientsCohort studyHospitalized patientsClaims dataHigh riskPatientsTraditional logistic regressionDerivation dataMean AUCIBDMean areaCharacteristic curveDiseaseSu1018: UNPLANNED HEALTHCARE UTILIZATION AND SAFETY OF BIOLOGIC THERAPY IN HISPANIC VS. NON-HISPANIC PATIENTS WITH IBD
Nguyen N, Luo J, Paul P, Kim J, Syal G, Ha C, Rudrapatna V, Park S, Parekh N, Zheng K, Sauk J, Limketkai B, Fleshner P, Eisenstein S, Ramamoorthy S, Melmed G, Boland B, Mahadevan U, Sandborn W, Ohno-Machado L, Mcgovern D, Singh S. Su1018: UNPLANNED HEALTHCARE UTILIZATION AND SAFETY OF BIOLOGIC THERAPY IN HISPANIC VS. NON-HISPANIC PATIENTS WITH IBD. Gastroenterology 2022, 162: s-482-s-483. DOI: 10.1016/s0016-5085(22)61145-4.Peer-Reviewed Original ResearchNon-Hispanic patientsUnplanned healthcare utilizationBiologic therapyHealthcare utilizationPatientsTherapyIBD