Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/87826
DC Field | Value | Language |
---|---|---|
dc.contributor | School of Nursing | - |
dc.creator | Wang, JJ | - |
dc.creator | Xie, ZX | - |
dc.creator | Li, Y | - |
dc.creator | Song, YY | - |
dc.creator | Yan, JW | - |
dc.creator | Bai, WH | - |
dc.creator | Zhou, T | - |
dc.creator | Qin, J | - |
dc.date.accessioned | 2020-08-19T06:27:32Z | - |
dc.date.available | 2020-08-19T06:27:32Z | - |
dc.identifier.uri | http://hdl.handle.net/10397/87826 | - |
dc.language.iso | en | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
dc.rights | This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/ | en_US |
dc.rights | 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 | en_US |
dc.subject | Batteries | en_US |
dc.subject | Machine learning | en_US |
dc.subject | Diseases | en_US |
dc.subject | Data mining | en_US |
dc.subject | Correlation | en_US |
dc.subject | Lung | en_US |
dc.subject | Hospitals | en_US |
dc.subject | Physical fitness | en_US |
dc.subject | Medical examination | en_US |
dc.subject | Data mining | en_US |
dc.subject | Machine learning | en_US |
dc.subject | Sport science | en_US |
dc.title | Relationship between health status and physical fitness of college students from south China : an empirical study by data mining approach | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 67466 | - |
dc.identifier.epage | 67473 | - |
dc.identifier.volume | 8 | - |
dc.identifier.doi | 10.1109/ACCESS.2020.2986039 | - |
dcterms.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. | - |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | IEEE access, 2020, v. 8, p. 67466-67473 | - |
dcterms.isPartOf | IEEE access | - |
dcterms.issued | 2020 | - |
dc.identifier.isi | WOS:000527416400003 | - |
dc.identifier.scopus | 2-s2.0-85084111418 | - |
dc.identifier.eissn | 2169-3536 | - |
dc.description.validate | 202008 bcrc | - |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_Scopus/WOS | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
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Wang_Health_Physical_Fitness.pdf | 4.59 MB | Adobe PDF | View/Open |
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