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

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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
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ISSN:2296-2565
DOI:10.3389/fpubh.2025.1640226