Sa503 MACHINE LEARNING OUTPERFORMS TRADITIONAL RISK MODEL IN IDENTIFYING HIGH-NEED, HIGH-COST PATIENTS WITH INFLAMMATORY BOWEL DISEASES IN A NATIONALLY REPRESENTATIVE COHORT
Nguyen N, Patel S, Gabunilas J, Qian A, Cecil A, Ohno-Machado L, Sandborn W, Singh S, Chen P. Sa503 MACHINE LEARNING OUTPERFORMS TRADITIONAL RISK MODEL IN IDENTIFYING HIGH-NEED, HIGH-COST PATIENTS WITH INFLAMMATORY BOWEL DISEASES IN A NATIONALLY REPRESENTATIVE COHORT. Gastroenterology 2021, 160: s-525. PMCID: PMC8108304, DOI: 10.1016/s0016-5085(21)01959-4.Peer-Reviewed Original ResearchNationally Representative CohortHigh-cost patientsTraditional risk modelsRepresentative cohortHigh needRisk model