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28.01
77.05
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77.31
80.37
20.53
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50.33
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30.51
Russian Classification of Professions by Education
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02.06.01
31.08.39
49.02.01
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4614
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2301
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3015
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Russian Library and Bibliographic Classification
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6539
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GAM004050
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SPO066000
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2.3.8
FORECAST OF RESULTS OF COMPETITIONS IN SWIMMERS ACCORDING TO HEMATOLOGICAL INDICATORS
Alexandr Bolotov
State Scientific Center of the Russian Federation - Federal Medical Biophysical Center named after A.I. Burnazyan
(Leading Researcher)
Moscow, Russian Federation
Valeriy Barchukov
State Scientific Center of the Russian Federation - Federal Medical Biophysical Center named after A.I. Burnazyan
Moscow, Russian Federation
Alexander Galuzin
State Scientific Center of the Russian Federation - Federal Medical Biophysical Center named after A.I. Burnazyan
Moskva, Moscow, Russian Federation
Andrey Ten
Federal State Budgetary Institution "Federal Scientific and Clinical Center for Sports Medicine and Rehabilitation of the Federal Medical and Biological Agency"
(doctor)
Moscow, Russian Federation
Oksana Onopchenko
Federal State Budgetary Institution "Federal Scientific and Clinical Center for Sports Medicine and Rehabilitation of the Federal Medical and Biological Agency"
(doctor)
from 01.01.2010 until now
from 01.01.2010 until now
Moscow, Russian Federation
Abstract:
The use of hematological indicators to develop a computer program for predicting the success of swimmers' performance at competitions based on actual data on the most significant indicators and assessing the quality of the program using the Monte-Carlo method is considered.
The use of hematological indicators to develop a computer program for predicting the success of swimmers' performance at competitions based on actual data on the most significant indicators and assessing the quality of the program using the Monte-Carlo method is considered.
Keywords:
probabilistic assessment of the informativeness of signs, hematological parameters, success forecast, Monte Carlo method
probabilistic assessment of the informativeness of signs, hematological parameters, success forecast, Monte Carlo method
1. Nehvydovich A.I., Budko A.N. Ocenka effectivnosti trenirovochnogo processa sportsmeniv na osnove variabelnisty pokazateley krovi: practicheskoe posobie. [Assessment of the Efficiency of the Training of Athletes on the Basic of the Variability of Blood Indicator: A Practical Guide]. Minsk: BGUFK, 2019. - 40 p. (In Russian.)
2. Tablica ochkov World Aquatics (FINA). [World Aquatics (FINA) points table] (in Russian). URL: https://russwimming.ru/fina-points (accessed 29.08.2023).
3. Mincer O.P., Molotkov V.N., Ugarov B.N., Popov A.A., Palec B.L. et al. Biologicheskaya i meditsinskaya kibernetika / Spravochnic [Biological and Medical Cybernetics / Handbook]. Kyiv, Naukova Dumka Publ., 1986. - 375 p. (In Russian).
