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.

中文翻译：

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不同资格的冬季两项运动员体育活动功能支持建模

体育活动功能支持的定量评估，作为系统方法的反映，可以识别运动员的身体特征，规划训练过程和多种外生和内生因素作用的可能偏差。根据人工智能和机器学习的方法论，确定了信息量最大的指标，这些指标决定了体育活动的成败。这使得确定优秀冬季两项运动员心血管系统功能的特性成为可能，这提供和限制了身体表现。作为研究的结果，已经建立了高、中、低技能冬季两项运动员的功能模型，以改进训练过程。