Clustering of Multidimensional Objects in the Formation of Personalized Diets
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 m...
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| Veröffentlicht in: | International journal of advanced computer science & applications 2019, Vol.10 (2) |
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| container_title | International journal of advanced computer science & applications |
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| creator | Ivanova, Valentina N. A., Igor A., Natalia A., Marina I., Yury I., Vladimir V., Igor |
| description | 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. |
| doi_str_mv | 10.14569/IJACSA.2019.0100206 |
| format | Article |
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| source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | Cancer Clustering Computer science Customization Data mining Diet Disease Dopamine Enzymes Food Genes Genetic disorders Genomes Metabolism Methods Narcotics Nutrition Polymorphism |
| title | Clustering of Multidimensional Objects in the Formation of Personalized Diets |
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