PMC · DOI:10.3389/fendo.2026.1763989·February 5, 2026
Correction: From traditional metabolic markers to ensemble learning: comparative application of machine learning models for predicting NAFLD risk in adolescents
Chenming Zhang, Bin Niu, Rong Wang, Liaoyun Zhang
Abstract
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Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Keywords
machine learningnon-alcoholic fatty liver diseaseadolescentsfeature selectionpublic health
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Taxonomy
TopicsLipid metabolism and disorders · Liver Disease Diagnosis and Treatment · Metabolomics and Mass Spectrometry Studies
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