The Study of Methods to Improve the Accuracy of Glycemic Control Based on Statistical Methods

A. Terenteva, M. Limorenko
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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.
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基于统计方法提高血糖控制准确度的方法研究
糖尿病患者血糖浓度测定错误会导致治疗错误。为了给病人开出正确的、非创伤性的治疗方案,你需要提高测定病人血液中葡萄糖浓度的准确性。文章的作者建议使用自适应统计方法来提高准确性,这种方法在外部因素不确定的情况下对少量重复测量效果很好。这些方法在需要精确控制大量测量值的各个科学和技术领域已经证明了自己的有效性。这种统计方法在数学上得到了很好的研究,并在高精度制造中得到了应用。它们允许您根据以前的几次测量来调整注射物质的所需剂量,以排除给药不足或过量的情况。这两种情况——药物不足和过量——都会导致患者血液中的葡萄糖含量不正确(低血糖和高血糖),并对进一步治疗产生不良影响。为了排除此类病例,提高糖尿病患者的治疗质量和未来生活,我们提出了一种统计学解决方法。
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