Modeling of Functional Support of Sports Activities of Biathletes of Different Qualifications

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dc.contributor.author Priymak, Serhiy
dc.contributor.author Krutsevich, Tatiana
dc.contributor.author Pangelova, Natalia
dc.contributor.author Trachuk, Sergii
dc.contributor.author Kravchenko, Tetiana
dc.contributor.author Stepanenko, Volodymyr
dc.contributor.author Ruban, Vladyslav
dc.date.accessioned 2020-10-19T11:33:33Z
dc.date.available 2020-10-19T11:33:33Z
dc.date.issued 2020-01
dc.identifier.udk http://reposit.uni-sport.edu.ua/handle/787878787/2910
dc.description Modeling of Functional Support of Sports Activities of Biathletes of Different Qualifications / Serhiy Priymak, Tatiana Krutsevich, Natalia Pangelova, Sergii Trachuk, Tetiana Kravchenko, Volodymyr Stepanenko, Vladyslav Ruban // Journal of Human Sport and Exercise. ─ 2020. ─ https://doi.org/10.14198/jhse.2021.161.12. uk_UA
dc.description.abstract Quantitative assessment of the functional support of sports activities, as a reflection of the systematic approach, allows to identify the features of the body of athletes, to plan the training process and possible deviations in the action of multiple exogenous and endogenous factors. In accordance with the methodology of artificial intelligence and machine learning, the most informative indicators were determined, which determine the success of sports activities. This made it possible to determine the peculiarities of the functioning of the cardiovascular system of elite biathletes, which provides and limits physical performance. As a result of the research, functional models of high-, medium- and low-skilled biathletes have been built that will improve the training process. uk_UA
dc.language.iso en uk_UA
dc.publisher Journal of Human Sport and Exercise uk_UA
dc.subject physical working capacity uk_UA
dc.subject artificial intelligence uk_UA
dc.subject biathlon uk_UA
dc.subject data mining uk_UA
dc.subject machine learning uk_UA
dc.title Modeling of Functional Support of Sports Activities of Biathletes of Different Qualifications uk_UA
dc.type Article uk_UA


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