{"title":"The Study of Methods to Improve the Accuracy of Glycemic Control Based on Statistical Methods","authors":"A. Terenteva, M. Limorenko","doi":"10.1109/ICVISP54630.2021.00040","DOIUrl":null,"url":null,"abstract":"Erroneous determination of blood glucose concentration in patients with diabetes can lead to errors in treatment. To prescribe the correct and non-traumatic treatment to the patient, you need to increase the accuracy of determining the concentration of glucose in the patient's blood. The authors of the article suggest the use of adaptive statistical methods to improve accuracy, which work well with a small number of repeated measurements under conditions of uncertainty of external factors. Such methods have proven themselves well in various fields of science and technology, where precise control of a large group of measurements is required. Such statistical methods have been well studied in terms of mathematics and applied in high-precision manufacturing. They allow you to adjust the required dose of the injected substance on the basis of several previous measurements in order to exclude insufficient or excessive administration. Both of these cases - an insufficient and excessive amount of the drug - lead to an incorrect glucose content in the patient's blood (hypo- and hyperglycemia), and have a bad effect on further treatment. To exclude such cases and improve the quality of treatment and the future life of patients with diabetes mellitus, a solution method using statistics is proposed.","PeriodicalId":296789,"journal":{"name":"2021 5th International Conference on Vision, Image and Signal Processing (ICVISP)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 5th International Conference on Vision, Image and Signal Processing (ICVISP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICVISP54630.2021.00040","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Erroneous determination of blood glucose concentration in patients with diabetes can lead to errors in treatment. To prescribe the correct and non-traumatic treatment to the patient, you need to increase the accuracy of determining the concentration of glucose in the patient's blood. The authors of the article suggest the use of adaptive statistical methods to improve accuracy, which work well with a small number of repeated measurements under conditions of uncertainty of external factors. Such methods have proven themselves well in various fields of science and technology, where precise control of a large group of measurements is required. Such statistical methods have been well studied in terms of mathematics and applied in high-precision manufacturing. They allow you to adjust the required dose of the injected substance on the basis of several previous measurements in order to exclude insufficient or excessive administration. Both of these cases - an insufficient and excessive amount of the drug - lead to an incorrect glucose content in the patient's blood (hypo- and hyperglycemia), and have a bad effect on further treatment. To exclude such cases and improve the quality of treatment and the future life of patients with diabetes mellitus, a solution method using statistics is proposed.