Power system for schoolchildren based on their genotypes


  • V. I. Karpov K.G. Razumovsky Moscow State University of Technologies and Management, Russian Federation
  • M. A. Nikitina K.G. Razumovsky Moscow State University of Technologies and Management, Russian Federation
  • S. A. Ivanov K.G. Razumovsky Moscow State University of Technologies and Management, Russian Federation
  • R. H. Bekmansurov Sechenov First Moscow State Medical University, Russian Federation
  • A. V. Yumashev Kuban State Agrarian University named after I.T. Trubilin, Russian Federation
  • S. N. Sychanina Altai State University, Russian Federation




Genotype, Personified nutrition, Clustering of multidimensional objects, Metrics of characteristics, Decision support system


The article discusses a decision support system based on the clustering of genotypes and used in managing personalized nutrition for schoolchildren. The results of solving the problem for specific objects that have passed laboratory studies of gene states are presented. Modern scientific research in the field of nutrigenomics has shown that the selection of the optimal nutrition plan, taking into account genetic characteristics, increases the effectiveness of such programs by 200-300% compared with traditional approaches. This report discusses the use of soft computing (the method of clustering multidimensional objects) to determine typical clusters for managing personalized customer nutrition based on their genotypes.



Due to a mistake attributable to the authors, some affiliations are incorrect. The correct affiliations are:

1. V. I. KARPOV - K.G. Razumovsky Moscow State University of Technologies and Management, Moscow, Russian Federation

2. M.A NIKITINA - Federal Scientific Center for Food Systems, V.M. Gorbatova, Russian Academy of Sciences, Moscow, Russian Federation

3.S.A IVANOV - K.G. Razumovsky Moscow State University of Technologies and Management, Moscow, Russian Federation

4. R. H BEKMANSUROV - Elabuga Institute of KFU, Kazan Federal University, Elabuga, Russian Federation

5. A. V YUMASHEV - Sechenov First Moscow State Medical University, Moscow, Russian Federation

6. S. N SYCHANINA - Kuban State Agrarian University named after I.T. Trubilin, Krasnodar, Russian Federation


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How to Cite

Karpov, V. I., Nikitina, M. A., Ivanov, S. A., Bekmansurov, R. H., Yumashev, A. V., & Sychanina, S. N. (2021). Power system for schoolchildren based on their genotypes. Journal of Human Sport and Exercise, 16(2proc), S460-S469. https://doi.org/10.14198/jhse.2021.16.Proc2.31