View in EDS HTML Full Text PDF Full Text

From traditional metabolic markers to ensemble learning: comparative application of machine learning models for predicting NAFLD risk in adolescents.

Saved in:
Bibliographic Details
Title: From traditional metabolic markers to ensemble learning: comparative application of machine learning models for predicting NAFLD risk in adolescents.
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
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 41234233
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: From traditional metabolic markers to ensemble learning: comparative application of machine learning models for predicting NAFLD risk in adolescents.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Zhang+C%22">Zhang C</searchLink>; Academy of Medical Sciences, Shanxi Medical University, Taiyuan, China.<br /><searchLink fieldCode="AU" term="%22Niu+B%22">Niu B</searchLink>; Department of Infectious Diseases, The First Hospital of Shanxi Medical University, Taiyuan, China.; Graduate School, Shanxi Medical University, Taiyuan, China.<br /><searchLink fieldCode="AU" term="%22Wang+R%22">Wang R</searchLink>; Department of Infectious Diseases, The First Hospital of Shanxi Medical University, Taiyuan, China.; Graduate School, Shanxi Medical University, Taiyuan, China.<br /><searchLink fieldCode="AU" term="%22Zhang+L%22">Zhang L</searchLink>; Department of Infectious Diseases, The First Hospital of Shanxi Medical University, Taiyuan, China.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101555782%22">Frontiers in endocrinology</searchLink> [Front Endocrinol (Lausanne)] 2025 Oct 29; Vol. 16, pp. 1681686. <i>Date of Electronic Publication: </i>2025 Oct 29 (<i>Print Publication: </i>2025).
– 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="%22Frontiers+Research+Foundation]%22">Frontiers Research Foundation] </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101555782 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>1664-2392 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2216642392%22">16642392 </searchLink><i>NLM ISO Abbreviation: </i>Front Endocrinol (Lausanne) <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41234233
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3389/fendo.2025.1681686
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 1681686
    Titles:
      – TitleFull: From traditional metabolic markers to ensemble learning: comparative application of machine learning models for predicting NAFLD risk in adolescents.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Zhang C
      – PersonEntity:
          Name:
            NameFull: Niu B
      – PersonEntity:
          Name:
            NameFull: Wang R
      – PersonEntity:
          Name:
            NameFull: Zhang L
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 29
              M: 10
              Text: 2025 Oct 29
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 1664-2392
          Numbering:
            – Type: volume
              Value: 16
          Titles:
            – TitleFull: Frontiers in endocrinology
              Type: main
ResultId 1