The System of Automated Diabetes Control

Vitalii Levkivskyi, Galyna Marchuk, Oleksandr Kuzmenko, Anton Yu. Levchenko

2022

Abstract

Modern information technology creates new opportunities for quickly obtaining information about the status and trends of diseases such as diabetes. This paper considers the task of automating the collection and analysis of data on the condition of a patient. The object of the research is information technology for creating mobile applications and mathematical models for calculating the optimal insulin therapy. The aim of the work is to analyze the incidence of diabetes and the development of a software product for man-aging blood glucose levels. We developed a self-control diary which is the main functional feature of the system. It allows users to quickly obtain in-formation about the state and trends of the disease. Based on the accumulated daily data, it is possible to take the necessary actions on time to improve the disease course. In the process of development, the database was designed and mathematical methods were used to analyze the data. The module of the analysis of the collected data for the specific period is developed. The results of the analysis can be obtained by the following indicators: the average glucose blood level, the number of glucose measurements, glucose deviations, the number of basal insulin injections, the number of hypo/hyperglycemia, the amount of bolus insulin. In our work we used object-oriented design techniques, document-oriented databases, modern web technology stacks for mobile application development and design of interfaces. The result of solving the given task is a system of accumulation and systematization of statistical data on the course of the disease. An automated diabetes control system has been designed and developed. Mathematical models were used to calculate the glucose/insulin balance. The developed software can significantly improve the living standards of people with this disease. The system was tested by patients with diabetes.

Paper Citation

in Harvard Style

Levkivskyi V., Marchuk G., Kuzmenko O. and Yu. Levchenko A. (2022). The System of Automated Diabetes Control. In Proceedings of the 5th Workshop for Young Scientists in Computer Science and Software Engineering - Volume 1: CS&SE@SW; ISBN 978-989-758-653-8, SciTePress, pages 41-49. DOI: 10.5220/0012009500003561

in Bibtex Style

@conference{cs&se@sw22,
author={Vitalii Levkivskyi and Galyna Marchuk and Oleksandr Kuzmenko and Anton Yu. Levchenko},
title={The System of Automated Diabetes Control},
booktitle={Proceedings of the 5th Workshop for Young Scientists in Computer Science and Software Engineering - Volume 1: CS&SE@SW},
year={2022},
pages={41-49},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012009500003561},
isbn={978-989-758-653-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 5th Workshop for Young Scientists in Computer Science and Software Engineering - Volume 1: CS&SE@SW
TI - The System of Automated Diabetes Control
SN - 978-989-758-653-8
AU - Levkivskyi V.
AU - Marchuk G.
AU - Kuzmenko O.
AU - Yu. Levchenko A.
PY - 2022
SP - 41
EP - 49
DO - 10.5220/0012009500003561
PB - SciTePress