Application of artificial intelligence techniques for non-alcoholic fatty liver disease diagnosis: A systematic review (2005

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Application of artificial intelligence techniques for non-alcoholic fatty liver disease diagnosis: A systematic review (2005–2023)

Published:2024-02 Issue: Volume:244 Page:107932
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Zamanian H.,Shalbaf A.,Zali M.R.,Khalaj A.R.,Dehghan P.,Tabesh M.,Hatami B.,Alizadehsani R.,Tan Ru-San,Acharya U. Rajendra

Funder

Shahid Beheshti University of Medical Sciences

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference96 articles.

1. Nonalcoholic fatty liver disease and nonalcoholic steatohepatitis in Japan;Okanoue;J. Gastroenterol. Hepatol.,2011

2. Genderspecific differences in adipose distribution and adipocytokines influence adolescent nonalcoholic fatty liver disease;Avonrinde;Hepatology,2011

3. Nonalcoholic steatohepatitis: an expanded clinical entity;Bacon;Gastroenterology,1994

4. Mechanisms and implications of age-related changes in the liver: nonalcoholic fatty liver disease in the elderly;Gan;Curr. Gerontol. Geriatr. Res.,2011

5. Management of cirrhosis and ascites;Ginès;New Engl. J. Med.,2004

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1. Machine learning improves the prediction of significant fibrosis in Asian patients with metabolic dysfunction‐associated steatotic liver disease – The Gut and Obesity in Asia (GO‐ASIA) Study;Alimentary Pharmacology & Therapeutics;2024-02

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