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The construction of college students' sports health management service platform based on artificial intelligence

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  • Yu Zhang

    (Zhejiang College of Security Technology)

Abstract

The purpose is to further promote the healthy development of college students' physique, realize the monitoring of students' physique health management at any time, and then comprehensively ensure and promote the improvement and development of students' physique health level. From the perspective of artificial intelligence, the advantages of Internet technology in the field of sports are utilized to build a data chain system with college students' physical health test data as the core and the National Students' Physical Health Standard (Revised in 2014) as the benchmark, and build a college students' sports health management service platform. The platform constructed collects the physique health data of college students for online sorting and analysis, carries out multi-dimensional physical health evaluation and diagnosis for individual or class students, and forms a personalized, scientific and comprehensive exercise prescription intervention mechanism to ensure and promote the healthy development of students' physique. Meanwhile, the view of "combination of sports and medicine" is put forward, which mainly refers to how to combine medicine and sports in life, learning and teaching. Therefore, it is essential to introduce the health management service system into colleges. Health management is not a simple intervention for students, and the most crucial thing is to cultivate students' health awareness of lifelong exercise and make them benefit for life.

Suggested Citation

  • Yu Zhang, 2022. "The construction of college students' sports health management service platform based on artificial intelligence," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(3), pages 1102-1110, December.
    • Handle: RePEc:spr:ijsaem:v:13:y:2022:i:3:d:10.1007_s13198-021-01440-0
    DOI: 10.1007/s13198-021-01440-0
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    References listed on IDEAS

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    1. Yang Lu, 2019. "Artificial intelligence: a survey on evolution, models, applications and future trends," Journal of Management Analytics, Taylor & Francis Journals, vol. 6(1), pages 1-29, January.
    2. Tsz Kit Ng, 2021. "New Interpretation of Extracurricular Activities via Social Networking Sites: A Case Study of Artificial Intelligence Learning at a Secondary School in Hong Kong," Journal of Education and Training Studies, Redfame publishing, vol. 9(1), pages 49-60, January.
    3. Bernd W. Wirtz & Wilhelm M. Müller, 2019. "An integrated artificial intelligence framework for public management," Public Management Review, Taylor & Francis Journals, vol. 21(7), pages 1076-1100, July.
    4. Arenal, Alberto & Armuña, Cristina & Feijoo, Claudio & Ramos, Sergio & Xu, Zimu & Moreno, Ana, 2020. "Innovation ecosystems theory revisited: The case of artificial intelligence in China," Telecommunications Policy, Elsevier, vol. 44(6).
    5. Weiqiang Zhang & Yidan Xiang & Xiaohui Liu & Pengzhu Zhang, 2019. "Domain ontology development of knowledge base in cardiovascular personalized health management," Journal of Management Analytics, Taylor & Francis Journals, vol. 6(4), pages 420-455, October.
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    1. Pallavi Sood & Chetan Sharma & Shivinder Nijjer & Sumit Sakhuja, 2023. "Review the role of artificial intelligence in detecting and preventing financial fraud using natural language processing," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(6), pages 2120-2135, December.

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