Prediction of metabolically healthy obesity based on dietary nutrients: a comparative analysis of six machine learning models with SHAP and LIME interpretation.
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| Title: | Prediction of metabolically healthy obesity based on dietary nutrients: a comparative analysis of six machine learning models with SHAP and LIME interpretation. |
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| Authors: | Ji C; Department of General Practice, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China., Qin Z; Department of General Practice, Jiading District Central Hospital, Shanghai University of Medicine and Health Sciences, Shanghai, 201800, China., Yang Y; Department of Gastrointestinal Surgery, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China., Shen Y; Department of Pediatrics, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China., Gao J; Department of Pediatrics, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China., Zhu F; Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China., Liu F; Department of Pediatrics, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China. liufangsh30@163.com. |
| Source: | Eating and weight disorders : EWD [Eat Weight Disord] 2026 Feb 09; Vol. 31 (1), pp. 16. Date of Electronic Publication: 2026 Feb 09. |
| Publication Type: | Journal Article; Comparative Study |
| Journal Info: | Publisher: Springer Country of Publication: Germany NLM ID: 9707113 Publication Model: Electronic Cited Medium: Internet ISSN: 1590-1262 (Electronic) Linking ISSN: 11244909 NLM ISO Abbreviation: Eat Weight Disord Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1590-1262 |
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| DOI: | 10.1007/s40519-026-01821-z |
