Machine learning models integrating dietary data predict all-cause mortality in U.S. NAFLD patients: an NHANES-based study

Machine learning models integrating dietary data predict all-cause mortality in U.S. NAFLD patients: an NHANES-based study

Abstract Background Non-alcoholic fatty liver disease (NAFLD) is a leading cause of chronic liver disease, closely associated with metabolic abnormalities and unhealthy lifestyle habits. Despite the critical role of diet in disease progression, most existing prognostic models for NAFLD fail to incor...

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Bibliographic Details
Main Authors: Pinchu Chen, Yao Li, Chenfenglin Yang, Qifan Zhang
Format: Article
Language:English
Published: BMC 2025-07-01
Series:Nutrition Journal
Subjects:
NAFLD
Machine-learning
NHANES
Dietary fiber
Online Access:https://doi.org/10.1186/s12937-025-01170-0
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https://doi.org/10.1186/s12937-025-01170-0

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