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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Journal
Eating and Weight Disorders - Studies on Anorexia Bulimia and Obesity
Published
2026-02-09
DOI
https://doi.org/10.1007/s40519-026-01821-z
Primary Topic
Nutrition, Genetics, and Disease
Type
article
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article

Prediction of metabolically healthy obesity based on dietary nutrients: a comparative analysis of six machine learning models with SHAP and LIME interpretation

Zhijian Qin, Fang Liu, Yucheng Yang, Chenyi Ji et al.
Eating and Weight Disorders - Studies on Anorexia Bulimia and Obesity
Nutrition, Genetics, and Disease
article

Prediction of metabolically healthy obesity based on dietary nutrients: a comparative analysis of six machine learning models with SHAP and LIME interpretation

Zhijian Qin, Fang Liu, Yucheng Yang, Chenyi Ji, Jie Gao, Fangrun Zhu, Yao Shen
article en

Abstract

No abstract available for this paper.
Eating and Weight Disorders - Studies on Anorexia Bulimia and ObesityVol. 31(1)
Jiading District Central Hospital (CN), Shanghai University of Traditional Chinese Medicine (CN), Longhua Hospital Shanghai University of Traditional Chinese Medicine (CN), Shanghai East Hospital (CN)
Zero hunger
Openalex Percentile: Top 59%
Nutrition, Genetics, and Disease
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Prediction of metabolically healthy obesity based on dietary nutrients: a comparative analysis of six machine learning models with SHAP and LIME interpretation — Zhijian Qin, Fang Liu, et al. · Eating and Weight Disorders - Studies on Anorexia Bulimia and Obesity (2026) | TGRS Research Map | TGRS