From traditional metabolic markers to ensemble learning: comparative application of machine learning models for predicting NAFLD risk in adolescents.
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| Title: | From traditional metabolic markers to ensemble learning: comparative application of machine learning models for predicting NAFLD risk in adolescents. |
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| Authors: | Zhang C; Academy of Medical Sciences, Shanxi Medical University, Taiyuan, China., Niu B; Department of Infectious Diseases, The First Hospital of Shanxi Medical University, Taiyuan, China.; Graduate School, Shanxi Medical University, Taiyuan, China., Wang R; Department of Infectious Diseases, The First Hospital of Shanxi Medical University, Taiyuan, China.; Graduate School, Shanxi Medical University, Taiyuan, China., Zhang L; Department of Infectious Diseases, The First Hospital of Shanxi Medical University, Taiyuan, China. |
| Source: | Frontiers in endocrinology [Front Endocrinol (Lausanne)] 2025 Oct 29; Vol. 16, pp. 1681686. Date of Electronic Publication: 2025 Oct 29 (Print Publication: 2025). |
| Publication Type: | Journal Article; Comparative Study |
| Journal Info: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101555782 Publication Model: eCollection Cited Medium: Print ISSN: 1664-2392 (Print) Linking ISSN: 16642392 NLM ISO Abbreviation: Front Endocrinol (Lausanne) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1664-2392 |
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| DOI: | 10.3389/fendo.2025.1681686 |
