Enviar rexistro por email: Sa503 MACHINE LEARNING OUTPERFORMS TRADITIONAL RISK MODEL IN IDENTIFYING HIGH-NEED, HIGH-COST PATIENTS WITH INFLAMMATORY BOWEL DISEASES IN A NATIONALLY REPRESENTATIVE COHORT