Correction: From traditional metabolic markers to ensemble learning: comparative application of machine learning models for predicting NAFLD risk in adolescents

Frontiers in Endocrinology 2026 Open access

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Authors: Chenming Zhang, Bin Niu, Ruixue Wang, Liaoyun Zhang
DOI: 10.3389/fendo.2026.1763989
Cited by: 0

Abstract

Correction on: Zhang C, Niu B, Wang R, Zhang L. Front Endocrinol (Lausanne). 2025 Oct 29;16:1681686. doi: 10.3389/fendo.2025.1681686IF: 4.6 Q1 . PMID: 41234233; PMCID: PMC12605207.Wrong content There was a mistake in Tables 2-4 as published.[State the error that was made].Table2. Performance comparison of nine machine learning models for NAFLD prediction in the testing set.

Fields of Study & Subjects

Liver Disease Diagnosis and Treatment Artificial Intelligence in Healthcare Diabetes Cardiovascular Risks and Lipoproteins

Publication details

Journal / source
Frontiers in Endocrinology
Volume
17
Pages
1763989–1763989
Publication date
5 February 2026
Language
EN