Abstract: When developing personalized diets (personalized nutrition) it is necessary to take into account individual physiological nutritional needs of the body associated with the presence of gene polymorphism among consumers. This greatly complicates the development of rations and increases their cost. A methodology for the formation of target diets based on the multidimensional objects clustering method has been proposed. Clustering in the experimental group was carried out on the basis of a calculation of the integral assessment of reliable risks of developing decease conditions according to selected metabolic processes. And genetic data of participants was taken into account. The use of the proposed method allowed reducing the needed number of typical solutions of individual diets for the experimental group from 10 to 3.

Valentina N. Ivanova, Igor A. Nikitin, Natalia A. Zhuchenko, Marina A. Nikitina, Yury I. Sidorenko, Vladimir I. Karpov and Igor V. Zavalishin, “Clustering of Multidimensional Objects in the Formation of Personalized Diets” International Journal of Advanced Computer Science and Applications(IJACSA), 10(2), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100206

@article{Ivanova2019,
title = {Clustering of Multidimensional Objects in the Formation of Personalized Diets},
journal = {International Journal of Advanced Computer Science and Applications}
doi = {10.14569/IJACSA.2019.0100206},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100206},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {2},
author = {Valentina N. Ivanova and Igor A. Nikitin and Natalia A. Zhuchenko and Marina A. Nikitina and Yury I. Sidorenko and Vladimir I. Karpov and Igor V. Zavalishin},
}