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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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41661492 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Prediction of metabolically healthy obesity based on dietary nutrients: a comparative analysis of six machine learning models with SHAP and LIME interpretation. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Ji+C%22">Ji C</searchLink>; Department of General Practice, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China.<br /><searchLink fieldCode="AU" term="%22Qin+Z%22">Qin Z</searchLink>; Department of General Practice, Jiading District Central Hospital, Shanghai University of Medicine and Health Sciences, Shanghai, 201800, China.<br /><searchLink fieldCode="AU" term="%22Yang+Y%22">Yang Y</searchLink>; Department of Gastrointestinal Surgery, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China.<br /><searchLink fieldCode="AU" term="%22Shen+Y%22">Shen Y</searchLink>; Department of Pediatrics, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China.<br /><searchLink fieldCode="AU" term="%22Gao+J%22">Gao J</searchLink>; Department of Pediatrics, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China.<br /><searchLink fieldCode="AU" term="%22Zhu+F%22">Zhu F</searchLink>; Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China.<br /><searchLink fieldCode="AU" term="%22Liu+F%22">Liu F</searchLink>; Department of Pediatrics, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China. liufangsh30@163.com. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229707113%22">Eating and weight disorders : EWD</searchLink> [Eat Weight Disord] 2026 Feb 09; Vol. 31 (1), pp. 16. <i>Date of Electronic Publication: </i>2026 Feb 09. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Comparative Study – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer%22">Springer </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>9707113 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1590-1262 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2211244909%22">11244909 </searchLink><i>NLM ISO Abbreviation: </i>Eat Weight Disord <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41661492 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s40519-026-01821-z Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 16 Titles: – TitleFull: Prediction of metabolically healthy obesity based on dietary nutrients: a comparative analysis of six machine learning models with SHAP and LIME interpretation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ji C – PersonEntity: Name: NameFull: Qin Z – PersonEntity: Name: NameFull: Yang Y – PersonEntity: Name: NameFull: Shen Y – PersonEntity: Name: NameFull: Gao J – PersonEntity: Name: NameFull: Zhu F – PersonEntity: Name: NameFull: Liu F IsPartOfRelationships: – BibEntity: Dates: – D: 09 M: 02 Text: 2026 Feb 09 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1590-1262 Numbering: – Type: volume Value: 31 – Type: issue Value: 1 Titles: – TitleFull: Eating and weight disorders : EWD Type: main |
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