IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v13y2022i3d10.1007_s13198-021-01440-0.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-021-01440-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13198-021-01440-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Baoshan Ge & Liyi Zhao, 2022. "The impact of the integration of opportunity and resources of new ventures on entrepreneurial performance: The moderating role of BDAC‐AI," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 440-461, May.
    2. Baoshan Ge & Qi Wang & Meifang Yao, 2022. "From ideas to entrepreneurial opportunity: A study on AI," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 618-632, May.
    3. Meifang Yao & Dan Ye & Liyi Zhao, 2022. "The relationship between inbound open innovation and the innovative use of information technology by individuals in teams of start‐ups," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 503-515, May.
    4. Fang Wang, 2022. "AI‐enabled IT capability and organizational performance," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 609-617, May.
    5. Hong Jiang & Shuyu Sun & Hongtao Xu & Shukuan Zhao & Yong Chen, 2020. "Enterprises' network structure and their technology standardization capability in Industry 4.0," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(4), pages 749-765, July.
    6. Jing Liu & Mengbo Wang & Xiaoling Kang & Xia Zhang & Xing Chen, 2022. "Seizing the opportunity window of artificial intelligence in China: Towards an innovation policy mix framework for emerging technologies from an evolution perspective," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 397-414, May.
    7. Ciurea Iulia-Cristina, 2024. "The Impact of the EU AI Act on the UN Sustainable Development Goals for 2030 – A Text Analysis," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 18(1), pages 2857-2870.
    8. Yang, Chao & Huang, Cui, 2022. "Quantitative mapping of the evolution of AI policy distribution, targets and focuses over three decades in China," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    9. Li Da Xu, 2020. "The contribution of systems science to Industry 4.0," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(4), pages 618-631, July.
    10. Sun, Sunny Li & Choi, Yoona & Guo, Feng & Guo, Jinyu & Zou, Bo & Cui, Lin, 2023. "Winning intellectual property rights lawsuits in China," Journal of World Business, Elsevier, vol. 58(3).
    11. Yuxin Fang & Hongjun Cao & Jihui Sun, 2022. "Impact of Artificial Intelligence on Regional Green Development under China’s Environmental Decentralization System—Based on Spatial Durbin Model and Threshold Effect," IJERPH, MDPI, vol. 19(22), pages 1-27, November.
    12. Alexander Musaev & Andrey Makshanov & Dmitry Grigoriev, 2022. "Evolutionary Optimization of Control Strategies for Non-Stationary Immersion Environments," Mathematics, MDPI, vol. 10(11), pages 1-17, May.
    13. Chiarello, Filippo & Fantoni, Gualtiero & Hogarth, Terence & Giordano, Vito & Baltina, Liga & Spada, Irene, 2021. "Towards ESCO 4.0 – Is the European classification of skills in line with Industry 4.0? A text mining approach," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    14. Ming Yang & Pawan Kumar & Jyoti Bhola & Mohammad Shabaz, 2022. "Development of image recognition software based on artificial intelligence algorithm for the efficient sorting of apple fruit," 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(1), pages 322-330, March.
    15. Zimei Liu & Kefan Xie & Ling Li & Yong Chen, 2020. "A paradigm of safety management in Industry 4.0," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(4), pages 632-645, July.
    16. Ricardo Santos & António Abreu & Ana Dias & João M.F. Calado & Vitor Anes & José Soares, 2020. "A Framework for Risk Assessment in Collaborative Networks to Promote Sustainable Systems in Innovation Ecosystems," Sustainability, MDPI, vol. 12(15), pages 1-20, August.
    17. Won, Jeong Yeon & Park, Min Jae, 2020. "Smart factory adoption in small and medium-sized enterprises: Empirical evidence of manufacturing industry in Korea," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    18. Cristian-Mihai Vidu & Florina Pinzaru & Andreea Mitan, 2022. "What managers of SMEs in the CEE region should know about challenges of artificial intelligence’s adoption? – an introductive discussion," Nowoczesne Systemy Zarządzania. Modern Management Systems, Military University of Technology, Faculty of Security, Logistics and Management, Institute of Organization and Management, issue 1, pages 63-76.
    19. Petra Vujković & Dejan Ravšelj & Lan Umek & Aleksander Aristovnik, 2022. "Bibliometric Analysis of Smart Public Governance Research: Smart City and Smart Government in Comparative Perspective," Social Sciences, MDPI, vol. 11(7), pages 1-22, July.
    20. Di Vaio, Assunta & Palladino, Rosa & Hassan, Rohail & Escobar, Octavio, 2020. "Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review," Journal of Business Research, Elsevier, vol. 121(C), pages 283-314.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ijsaem:v:13:y:2022:i:3:d:10.1007_s13198-021-01440-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.