Application of Interpretable Machine Learning Models Based on Ultrasonic Radiomics for Predicting the Risk of Fibrosis Progression in Diabetic Patients with Nonalcoholic Fatty Liver Disease
Author:
Publisher
Informa UK Limited
Subject
Pharmacology,Internal Medicine
Reference32 articles.
1. Fibrosis stage is the strongest predictor for disease-specific mortality in NAFLD after up to 33 years of follow-up
2. Association Between Fibrosis Stage and Outcomes of Patients With Nonalcoholic Fatty Liver Disease: A Systematic Review and Meta-Analysis
3. Fibrosis stage but not NASH predicts mortality and time to development of severe liver disease in biopsy-proven NAFLD
4. The global epidemiology of NAFLD and NASH in patients with type 2 diabetes: A systematic review and meta-analysis
5. Histopathological differences utilizing the nonalcoholic fatty liver disease activity score criteria in diabetic (type 2 diabetes mellitus) and non-diabetic patients with nonalcoholic fatty liver disease
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