Machine learning-based disease risk stratification and prediction of metabolic dysfunction-associated fatty liver disease using vibration-controlled transient elastography: Result from NHANES 2021–2023

Abstract Background Metabolic dysfunction-associated fatty liver disease (MAFLD) is a common chronic liver disease and represents a significant public health issue. Nevertheless, current risk stratification methods remain inadequate. The study aimed to use machine learning in the identification of s...

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Bibliographic Details
Main Authors: Liqiong Huang, Yu Luo, Li Zhang, Mengqi Wu, Lirong Hu
Format: Article
Language:English
Published: BMC 2025-04-01
Series:BMC Gastroenterology
Subjects:
Online Access:https://doi.org/10.1186/s12876-025-03850-x
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