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1.
4th International Workshop on Intelligent Information Technologies and Systems of Information Security, IntellTSIS 2023 ; 3373:185-194, 2023.
Article in English | Scopus | ID: covidwho-2315434

ABSTRACT

The study of food products to determine the level of creatine in them is an actual task, taking into account the need for this substance for patients with Covid'19 and spinal muscular atrophy. The purpose of our research is to develop a mobile information system for determining the level of creatine in food products. The developed method for determining the level of creatine in food products by the user and the method for determining the level of creatine in food products using a mobile information system provide the user with the opportunity to quickly, conveniently, cheaply and effectively assess the presence and level of creatine in any food products, on the basis of which to build a rational diet from the point vision of body saturation with creatine. The proposed mobile information system for determining the level of creatine in food products provides convenience, low-cost, celerity, miniaturization and automation for measurement of concentration of creatine in any food products. The conclusion obtained from the system regarding the presence and level of creatine in this or that food product is useful and extremely important when preparing the diet of patients, especially patients with Covid'19 and/or spinal muscular atrophy. The proposed approach and mobile information system for determining the level of creatine in food products can be used not only for drawing up the diet of patients, especially patients with Covid'19 and/or spinal muscular atrophy, from the point vision of body saturation with creatine, but also for example, to check the quality of meat products. © 2023 Copyright for this paper by its authors.

2.
5th International Conference on Informatics and Data-Driven Medicine, IDDM 2022 ; 3302:202-213, 2022.
Article in English | Scopus | ID: covidwho-2168520

ABSTRACT

The conducted review of known methods and systems showed that there are currently no tools for decision-making support for necessity/optionality/contraindication of vaccination against COVID-19. The paper models the process of decision-making support for necessity/optionality/contraindication of vaccination against COVID-19, which is a theoretical basis for the formation of questionnaires for gathering information about the person who plans to be vaccinated, for organizing the analysis of this person's answers, as well as for decision-making support for necessity/optionality/contraindication of vaccination against COVID-19. Questionnaires for determining the necessity/optionality of vaccination against COVID-19 and for determining the contraindication of vaccination against COVID-19 were developed taking into account the current legal norms of Ukraine, as well as rules for analyzing the answers to questions of questionnaires for determining the necessity/optionality of vaccination against COVID-19 and the answers to the questions of questionnaires for determining the contraindication of vaccination against COVID-19. The developed rules make it possible to form a set of work's categories of the person, for whom the necessity/optionality of vaccination against COVID-19 is determined, and a set of medical diagnoses-contraindications of a person, for whom a contraindication of vaccination against COVID-19 is determined, which are grounds for making a decision about the necessity/optionality/contraindication of vaccination against COVID-19. The scheme of process of decision-making support for necessity/optionality/contraindication of vaccination against COVID-19 has been developed, according to which a person who plans to be vaccinated can automatically and free of charge determine the necessity/optionality of vaccination against COVID-19, as well as the possibility/contraindication of vaccination against COVID-19 based on the legal norms in force in Ukraine, i.e. can independently make a reasoned decision regarding vaccination against COVID-19. © 2022 Copyright for this paper by its authors.

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