Abstract
Development of a personalized human diet with due account for a variety of different factors is associated with system analysis and formalization of accumulated data and knowledge, as well as digital intelligent technologies for their processing and making optimal decisions. The methodology of optimization and formation of personalized diets based on structural-parametric modeling is presented. The proposed approach allows one to solve the following tasks: (1) to analyze the daily diet or individual meals (breakfast, lunch, afternoon snack, dinner, additional meals (snacks)) with a known quantitative set of finished products in terms of energy value and chemical composition in order to reveal dietary disorders; (2) to calculate for a specified list of finished products their optimal quantity, as close as possible in all respects to the reference diet recommended depending on mental and physical activity; (3) to optimize the diet depending on the task at hand by selecting a group of finished products from a complete or selected list of archival data, equally taking into account all the necessary parameters of each product quality; (4) to adjust the diet taking into account dietary deviations in certain parameters of chemical composition and energy value by additionally introduced products of increased biological value for special purposes, multivitamin and multivitamin-mineral supplements, as well as natural bioactive substances.
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This chapter is prepared as part of scientific research theme No. 0585-2019-0008 under the state assignment of the federal state budgetary scientific institution ‘V. M. Gorbatov’s Federal Research Centre for Food Systems’ of RAS.
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Nikitina, M.A. (2023). Development of a Personalized Diet Using Structural Optimization. In: Kravets, A.G., Bolshakov, A.A., Shcherbakov, M.V. (eds) Society 5.0. Studies in Systems, Decision and Control, vol 437. Springer, Cham. https://doi.org/10.1007/978-3-031-35875-3_4
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