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

مواد مشابهة

• Burden and Outcomes of Fragmentation of Care in Hospitalized Patients With Inflammatory Bowel Diseases: A Nationally Representative Cohort
  بواسطة: Nguyen, Nghia H, وآخرون
  منشور في: (2020)
• Estimates of the Prevalence and Effects of Food Insecurity and Social Support on Financial Toxicity in and Healthcare Use by Patients with Inflammatory Bowel Diseases
  بواسطة: Nguyen, Nghia H., وآخرون
  منشور في: (2020)
• Annual Burden and Costs of Hospitalization for High-Need, High-Cost Patients with Chronic Gastrointestinal and Liver Diseases
  بواسطة: Nguyen, Nghia H., وآخرون
  منشور في: (2018)
• Frailty is Independently Associated with Mortality and Readmission in Hospitalized Patients with Inflammatory Bowel Diseases
  بواسطة: Qian, Alexander S., وآخرون
  منشور في: (2020)
• National Estimates of Financial Hardship From Medical Bills and Cost-related Medication Nonadherence in Patients With Inflammatory Bowel Diseases in the United States
  بواسطة: Nguyen, Nghia H, وآخرون
  منشور في: (2020)