Development of neural network algorithms for assessing the cardiovascular system state of students in planning physical education classes
Abstract and keywords
Abstract (English):
The purpose of the study is to conduct a theoretical analysis of the problem of artificial intelligence (AI) development and to develop an algorithm for accounting for the state of the cardiovascular system in the planning of physical culture and sports activities. Research methods and organization. The study was conducted in 2025 at the Plekhanov Russian University of Economics (Moscow) as part of a research application to the Russian Science Foundation. A theoretical analysis of the issue was carried out, including a forecast of the development of the international AI market up to 2030. Research results and conclusions. The developed algorithm is a preliminary stage of the planned scientific research in collaboration with the Russian Science Foundation (RSF). The data collected on the cardiovascular system will be analyzed by AI through an advanced cluster correlation analysis. The program, based on a specific algorithm, will be able to identify and analyze data obtained from various regions of the Russian Federation, in higher educational institutions of different profiles. The algorithm of the program will examine the state of the cardiovascular system comprehensively, creating conditions for data acquisition and exchange for joint scientific research and publications. This will serve as a data processing tool utilizing AI, seeking further recommendations for physical culture and sports engagement, which will facilitate the enhancement of cluster and correlation analysis of the functional state of the cardiovascular system among the student youth, and will establish conditions for data collection, analysis, processing, and exchange, as well as their interpretation.

Keywords:
artificial intelligence, functional state of the cardiovascular system, physical culture of the student
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References

1. Nopin S. V., Koryagina Yu. V. (2016), “Artificial Intelligence and Information Systems in Sports (analysis of innovative research of foreign laboratories for 2010-2016)“, Scientific Notes of P.F. Lesgaft University, No. 9 (139), pp. 118–123.

2. Usmanova D. I. (2022), “Use of artificial intelligence in the management of physical education and sports”, Problems of modern economy, No. 1, pp. 190–193.

3. (2022), “Global artificial intelligence in sports market size, share & industry trends analysis report by component, by game type, by application, by deployment model, by technology. By regional outlook and forecast 2021–2027”, Research And Markets, URL: https://www.researchandmarkets.com/reports//.

4. Kasisi J. (2023), “Application of Artificial Intelligence in Sports”, IN SITU, No. 5, pp. 30–33.

5. Trail G., Kim A., Bang H. (2024), “Braunstein-Minkov D. Ethics in quantitative research of sport management: the influence of artificial intelligence”, International Journal of Sports Marketing and Sponsorship, No. 25, pp. 1147–1162, DOIhttps://doi.org/10.1108/IJSMS-05-2024-0111, URL: https://www.researchgate.net/publication/382488192_Ethics_in_quantitative_sport_management_research_the_i mpact_of_AI.

6. Rakhat K., Karayat M. (2024), “Artificial Intelligence for Public Health and Population Health Management “, DOIhttps://doi.org/10.4018/979-8-3693-5468-1.ch003, URL: https://www.researchgate.net/publication/381209141_AI_for_Public_Health_and_Population_Health_Management.

7. Baig M. (2024), “The Future of AI in Higher Education: Opportunities & Challenges Ahead”, AI and Higher Education, No. 9, DOI:https://doi.org/10.31224/3903.

8. Balasubramanian T. (2024), “The Future of Education: Integrating AI in the Classroom”, 249 p., ISBN 978-93-341-3984-6, URL: https://www.researchgate.net/publication/384771372_The_Future_of_Education_Integrating_AI_in_the_Classroom.

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