Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/87826
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Title: Relationship between health status and physical fitness of college students from south China : an empirical study by data mining approach
Authors: Wang, JJ
Xie, ZX
Li, Y
Song, YY 
Yan, JW
Bai, WH
Zhou, T 
Qin, J 
Issue Date: 2020
Source: IEEE access, 2020, v. 8, p. 67466-67473
Abstract: This study aims to reveal the scientific associations between the motor competence related physical fitness and the medical health status of college students from south China. Two hundred and fourteen college students, including 112 males and 102 females, from 17 provinces were administrated with the Shantou University fitness test battery twice. All the subjects were asked for a medical examination, including a questionnaire and a physical examination. The records were assessed and concluded by three expertise medical practitioners. A machine learning model equipped with a new loss was designed to deal with the soft label issue. Armed with the trained model, we mine and highlight the relationship between the motor competence related physical fitness and the medical health status of the college students. The physical educators, the educational authorities, the universities, and the individuals may potentially benefit from this study.
Keywords: Batteries
Machine learning
Diseases
Data mining
Correlation
Lung
Hospitals
Physical fitness
Medical examination
Data mining
Machine learning
Sport science
Publisher: Institute of Electrical and Electronics Engineers
Journal: IEEE access 
EISSN: 2169-3536
DOI: 10.1109/ACCESS.2020.2986039
Rights: This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
The following publication J. Wang et al., "Relationship Between Health Status and Physical Fitness of College Students From South China: An Empirical Study by Data Mining Approach," in IEEE Access, vol. 8, pp. 67466-67473, 2020 is available at https://dx.doi.org/10.1109/ACCESS.2020.2986039
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