Issue |
E3S Web Conf.
Volume 284, 2021
Topical Problems of Green Architecture, Civil and Environmental Engineering (TPACEE-2021)
|
|
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Article Number | 01010 | |
Number of page(s) | 7 | |
Section | Environmental Engineering | |
DOI | https://doi.org/10.1051/e3sconf/202128401010 | |
Published online | 12 July 2021 |
Methods for assessing risk factors to the health of highly qualified athletes
Tashkent pharmaceutical Institute, 45, Oybek street, Tashkent, 100015, Uzbekistan
* Corresponding author: davr1960@mail.ru
Currently, digital technologies are widely used both in the development of mass sports and sports of high achievements. Achievements in many sports disciplines are unthinkable without the use of various technical control schemes and computer processing. The development of sports focused on high world results requires the development and implementation of special technologies that allow planning to obtain extreme physiological and physical indicators of athletes by the time of the competition. The specificity of the tasks to be solved lies in the fact that each person is considered as a complex system, the state of which depends on many different factors. The manifestation of some of the factors can be traced according to the results of tests and competitions. Another part of the factors has a hidden, latent nature, individual for each person, and lies at the genetic level. The problem is how to find patterns that reflect the relationship between physiological, genetic and athletic performance. Coaches often make decisions based on their experience and intuition. As a rule, this is not always enough to achieve the goals set for the athletes. As one of the means of solving the problems described above, the use of methods of intellectual data analysis is proposed (IDA).
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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