A machine learning-based classification of adult-onset diabetes identifies patients at risk of liver-related complications
Author:
Funder
FRS-FNRS
Gilead Sciences
Université Libre de Bruxelles
AbbVie
Fonds Erasme
Publisher
Elsevier BV
Subject
Gastroenterology,Hepatology,Immunology and Allergy,Internal Medicine
Reference34 articles.
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2. A global view of the interplay between non-alcoholic fatty liver disease and diabetes;Stefan;Lancet Diabetes Endocrinol,2022
3. The prevalence and incidence of NAFLD worldwide: a systematic review and meta-analysis;Riazi;Lancet Gastroenterol Hepatol,2022
4. Effect of metabolic traits on the risk of cirrhosis and hepatocellular cancer in nonalcoholic fatty liver disease;Kanwal;Hepatology,2020
5. The global epidemiology of NAFLD and NASH in patients with type 2 diabetes: a systematic review and meta-analysis;Younossi;J Hepatol,2019
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Algorithms for Early Detection of Silent Liver Fibrosis in the Primary Care Setting;Seminars in Liver Disease;2024-01-23
2. Risk factors associated with liver‐related complications in diabetes: There may be more than meets the eye;United European Gastroenterology Journal;2023-12-19
3. Exploring the links between types 2 diabetes and liver‐related complications: A comprehensive review;United European Gastroenterology Journal;2023-12-16
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