The impact of precompetition state on athletic performance among track and field athletes using machine learning

The impact of precompetition state on athletic performance among track and field athletes using machine learning

ObjectiveThis study aims to compare the differences in the precompetition status (nutritional, physiological, biochemical, psychological, and sleep statuses) among college track and field athletes with different competition performances and to screen for key indicators of differences affecting athle...

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Bibliographic Details
Main Authors: Yuting Zhang, Pengyu Fu, Qi Yu, Qingmei Niu, Dongfeng Nie, Xiangya Dou, Xiaoqin Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Physiology
Subjects:
track and field athletes
pre-competition status
competition performance
machine learning
training monitoring
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2025.1429510/full
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https://www.frontiersin.org/articles/10.3389/fphys.2025.1429510/full

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