Interpretable machine learning models for predicting cognitive impairment using NHANES neuropsychological tests: nutritional and sociodemographic associations.
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| Title: | Interpretable machine learning models for predicting cognitive impairment using NHANES neuropsychological tests: nutritional and sociodemographic associations. |
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| Authors: | Song L; Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China., Li C; Department of Neurology, The First Affiliated Hospital Of Chongqing Medical University, Chongqing Key Laboratory of Major Neurological and Mental Disorders, Chongqing Key Laboratory of Neurology, Chongqing, China., Xiang X; Department of Nuclear Medicine, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, China., Lin P; Department of Otolaryngology Head and Neck Surgery, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Children and Adolescents' Health and Diseases, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, China. |
| Source: | Frontiers in nutrition [Front Nutr] 2026 Jan 14; Vol. 12, pp. 1680290. Date of Electronic Publication: 2026 Jan 14 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Media S. A Country of Publication: Switzerland NLM ID: 101642264 Publication Model: eCollection Cited Medium: Print ISSN: 2296-861X (Print) Linking ISSN: 2296861X NLM ISO Abbreviation: Front Nutr Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41613925 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Interpretable machine learning models for predicting cognitive impairment using NHANES neuropsychological tests: nutritional and sociodemographic associations. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Song+L%22">Song L</searchLink>; Department of Neurology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.<br /><searchLink fieldCode="AU" term="%22Li+C%22">Li C</searchLink>; Department of Neurology, The First Affiliated Hospital Of Chongqing Medical University, Chongqing Key Laboratory of Major Neurological and Mental Disorders, Chongqing Key Laboratory of Neurology, Chongqing, China.<br /><searchLink fieldCode="AU" term="%22Xiang+X%22">Xiang X</searchLink>; Department of Nuclear Medicine, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.<br /><searchLink fieldCode="AU" term="%22Lin+P%22">Lin P</searchLink>; Department of Otolaryngology Head and Neck Surgery, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Children and Adolescents' Health and Diseases, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, China. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101642264%22">Frontiers in nutrition</searchLink> [Front Nutr] 2026 Jan 14; Vol. 12, pp. 1680290. <i>Date of Electronic Publication: </i>2026 Jan 14 (<i>Print Publication: </i>2025). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers+Media+S%2E+A%22">Frontiers Media S. A </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101642264 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2296-861X (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%222296861X%22">2296861X </searchLink><i>NLM ISO Abbreviation: </i>Front Nutr <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41613925 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3389/fnut.2025.1680290 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 1680290 Titles: – TitleFull: Interpretable machine learning models for predicting cognitive impairment using NHANES neuropsychological tests: nutritional and sociodemographic associations. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Song L – PersonEntity: Name: NameFull: Li C – PersonEntity: Name: NameFull: Xiang X – PersonEntity: Name: NameFull: Lin P IsPartOfRelationships: – BibEntity: Dates: – D: 14 M: 01 Text: 2026 Jan 14 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 2296-861X Numbering: – Type: volume Value: 12 Titles: – TitleFull: Frontiers in nutrition Type: main |
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