View in EDS HTML Full Text PDF Full Text

A deep hybrid learning framework with attention-enhanced feature extraction for BMI prediction based on physical fitness.

Saved in:
Bibliographic Details
Title: A deep hybrid learning framework with attention-enhanced feature extraction for BMI prediction based on physical fitness.
Authors: Mo M; Changsha Aeronautical Vocational and Technical College, Changsha, Hunan, China., Luo W; Hunan First Normal University, Changsha, Hunan, China., Hu Q; Hunan University, Changsha, Hunan, China., Wang J; Changsha Aeronautical Vocational and Technical College, Changsha, Hunan, China., Jiao T; Hunan University, Changsha, Hunan, China., Xie L; Hunan Wuxu Network Technology Co., Ltd., Changsha, Hunan, China., Wu G; Hunan Yanpei Technical School, Changsha, Hunan, China., Yang Y; Changsha Aeronautical Vocational and Technical College, Changsha, Hunan, China., Deng J; Changsha Aeronautical Vocational and Technical College, Changsha, Hunan, China., Xu X; Changsha Aeronautical Vocational and Technical College, Changsha, Hunan, China.
Source: Frontiers in public health [Front Public Health] 2025 Sep 02; Vol. 13, pp. 1640226. Date of Electronic Publication: 2025 Sep 02 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Editorial Office Country of Publication: Switzerland NLM ID: 101616579 Publication Model: eCollection Cited Medium: Internet ISSN: 2296-2565 (Electronic) Linking ISSN: 22962565 NLM ISO Abbreviation: Front Public Health 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: 40963657
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: A deep hybrid learning framework with attention-enhanced feature extraction for BMI prediction based on physical fitness.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Mo+M%22">Mo M</searchLink>; Changsha Aeronautical Vocational and Technical College, Changsha, Hunan, China.<br /><searchLink fieldCode="AU" term="%22Luo+W%22">Luo W</searchLink>; Hunan First Normal University, Changsha, Hunan, China.<br /><searchLink fieldCode="AU" term="%22Hu+Q%22">Hu Q</searchLink>; Hunan University, Changsha, Hunan, China.<br /><searchLink fieldCode="AU" term="%22Wang+J%22">Wang J</searchLink>; Changsha Aeronautical Vocational and Technical College, Changsha, Hunan, China.<br /><searchLink fieldCode="AU" term="%22Jiao+T%22">Jiao T</searchLink>; Hunan University, Changsha, Hunan, China.<br /><searchLink fieldCode="AU" term="%22Xie+L%22">Xie L</searchLink>; Hunan Wuxu Network Technology Co., Ltd., Changsha, Hunan, China.<br /><searchLink fieldCode="AU" term="%22Wu+G%22">Wu G</searchLink>; Hunan Yanpei Technical School, Changsha, Hunan, China.<br /><searchLink fieldCode="AU" term="%22Yang+Y%22">Yang Y</searchLink>; Changsha Aeronautical Vocational and Technical College, Changsha, Hunan, China.<br /><searchLink fieldCode="AU" term="%22Deng+J%22">Deng J</searchLink>; Changsha Aeronautical Vocational and Technical College, Changsha, Hunan, China.<br /><searchLink fieldCode="AU" term="%22Xu+X%22">Xu X</searchLink>; Changsha Aeronautical Vocational and Technical College, Changsha, Hunan, China.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101616579%22">Frontiers in public health</searchLink> [Front Public Health] 2025 Sep 02; Vol. 13, pp. 1640226. <i>Date of Electronic Publication: </i>2025 Sep 02 (<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+Editorial+Office%22">Frontiers Editorial Office </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101616579 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2296-2565 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2222962565%22">22962565 </searchLink><i>NLM ISO Abbreviation: </i>Front Public Health <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40963657
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.3389/fpubh.2025.1640226
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 1640226
    Titles:
      – TitleFull: A deep hybrid learning framework with attention-enhanced feature extraction for BMI prediction based on physical fitness.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Mo M
      – PersonEntity:
          Name:
            NameFull: Luo W
      – PersonEntity:
          Name:
            NameFull: Hu Q
      – PersonEntity:
          Name:
            NameFull: Wang J
      – PersonEntity:
          Name:
            NameFull: Jiao T
      – PersonEntity:
          Name:
            NameFull: Xie L
      – PersonEntity:
          Name:
            NameFull: Wu G
      – PersonEntity:
          Name:
            NameFull: Yang Y
      – PersonEntity:
          Name:
            NameFull: Deng J
      – PersonEntity:
          Name:
            NameFull: Xu X
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 02
              M: 09
              Text: 2025 Sep 02
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 2296-2565
          Numbering:
            – Type: volume
              Value: 13
          Titles:
            – TitleFull: Frontiers in public health
              Type: main
ResultId 1