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Author

Yang Cheng

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Review Open access Sep 2026

Development and Internal Validation of an Interpretable Machine Learning Screening Model for MAFLD–Diabetes Mellitus Comorbidity: A Cross-Sectional NHANES Study

Background: The rising global prevalence and bidirectional relationship between metabolic-associated fatty liver disease (MAFLD) and diabetes mellitus (DM) significantly exacerbate adverse target-organ outcomes. Despite this, non-invasive screening frameworks remain lacking. This study aims to bridge this gap by develo...

Rui Wang, Yang Cheng, Jie Wang et al. · 0 citations

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