American Journal of Technology and Applied Sciences ISSN (E): 2832-1766| Volume 12, | May, 2023 P a g e | 78 www.americanjournal.org AUTOMATIC DETERMINATION OF BLOOD GLUCOSE LEVEL BY MEANS OF A NON-INVASIVE GLUCOMETER Isroilov U.B. Isroilov Ulug’bek Born on August 24, 1992 in the Jizzakh Region, a Specialist in Computer Systems, Currently Works as a Teacher at the Jizzakh Pedagogical University. The Author has Published Seven Scientific Articles. A B S T R A C T K E Y W O R D S This article aims to create a non-invasive method for determining glucose levels in diabetes to prevent diabetes. A non-invasive glucometer is aimed at creating a detection concept based on the biophysical parameters of biologically active points. When developing non-invasive fluorescence, experiments were carried out on healthy people and patients with two types of diabetes, confirmed by mathematical and statistical methods that correlate the amount of glucose in the blood and biophysical parameters at biologically active points. biofact active points, igloreflexotherapy, statistical processing, datasheet. Introduction In this article, using the electro-diagnostic method of igloreflexotherapy, J. Determining the amount of glucose in diabetes mellitus on the basis of electron biofuel points in the Riodoraku system of Nakatia, and finding mathematical connections among them and ultimately creating a mathematical model for noninvasive glucometer. The first step in building an adequate model is to get complete information on the change in glucose levels in diabetes mellitus, the statistical processing and analysis of data obtained from experiments on electro-diagnostic resistance detectors. We evaluated the biophysical parameters of biologically active points in the process of changing glucose or hyperglycemia in diabetes mellitus. In our subsequent work, we present a mathematical model of a non-invasive glucometer. PROCEDURE FOR PAPER SUBMISSION Nowadays, human beings have argued that the models underway in the body as a cybernetic system give positive results, and that they need to be deepened and expanded in their research. The results of the research and literature review show that in the on-line mode of diagnostics and treatment of diabetes (ТD) there is a wide range of igloreflexotherapy (IRT) methods to determine the amount of glucose in the blood and to identify the type of treatment therapies The main objective of this article American Journal of Technology and Applied Sciences Volume 12, May, 2023 P a g e | 79 www.americanjournal.org is to develop an information support system, including functions. As you know, the human body is a complex system with a set of biofact active points(BFP). The processing of the numerical data, measured by biofuel points, requires the use of the theory of nontraditional headings. It is crucial to determine the amount of glucose in the blood based on IRT by creating mathematical, algorithmic, and software that evaluates the measured number of data and in the non-free environment. To date, the presence and role of glucose in the human body, the normal distribution of blood, and the presence of invasive and non-invasive glucose metabolites that monitor the progression of glucose levels in the TD, and the major drawbacks of these are the biophysics of the BFN using the IRT-based diagnostic equipment (BDE) measurement, the connection between the two parameters (EG in the blood glucose + BFN) is eliminated from the point of view of medicine and cybernetics. The first task of the research is to create an automated neutral non-invasive glucometer mathematical model (ANGMM) in the body that determines the origin of diabetes mellitus in glucose levels in the blood. The use of IRP therapeutic procedures in iperglycemia in TD is a second global issue, which seeks to overestimate and decrease the BFPs electrical resistance (ER), with the creation of automated diagnostic and therapeutical complex (ADTС) system. The stage of the clinical trials of ANGMM using the BFP (see Table 1) in J. Nakatani's Riodoraku method and the processing of the results obtained by mathematical statistics is as follows: • carrying out experiments on measuring blood glucose content (MG %) in the BFP in the ER and the biochemical method of the TD; • statistical processing, datasheet, graphic, interval methods of analysis and processing using the spline methods; • development of mathematical criteria for the differentiation process based on the amount of biophysical parameters in the informative BFP between healthy men and individuals 1 and 2 of TD. Table I: Informative BFPs in the Riodoraku -system № The name of the meridians Order of BFP on meridians BFPs Chinese name 1. Lung Р-9 Tay-yuan 2. Big colon Gi-4 Xe- gu 3. Stomach E-42 Chun -yan 4. Pancreas Rp-3 Tay-bay 5. Heart C-7 SHen-men 6. Small colon IG- 4 Van-gu 7. Urinary tract system V-64 Szin-gu 8. Liver P- 3 Tay-si 9. Perikard Mc-7 Da-lin 10 Three heaters Tr- 4 Yan-chi 11 Tufts Vb- 40 Suy-cuy 12 Divorced F-3 Tay-chun American Journal of Technology and Applied Sciences Volume 12, May, 2023 P a g e | 80 www.americanjournal.org In order to solve the above problem, 1,2 out-of-kind patients and 1,170 healthy people were treated at the endocrinology department of the 1st Medical Clinic of the Tashkent Medical Academy (see Figure 2). Methods used for the creation of ANGMM and APTM, their algorithms and CDS started at the Tashkent University of Information Technology (TUIT) and completed at Jizzakh Polytechnic Institute. Table II.Information on the number 1.2 of the TD and the number of observations in healthy subjects Groups Class The number Experience the number Time Healthy people А 80 120 8:30 Type 1 TD (insulin-dependent diabetic) Б 200 750 8:30 Type 2 TD (insulin-dependent diabetic) В 90 880 8:30 Total number of views: 370 1750 The following form of access was developed for experimental observations (see Table 3) and two observations were simultaneously performed on that table. Table III: Form of Glucose Quantity in Blood and BFN EQ Experiment Form № The amount of glucose in the blood, mg,% … 1 … 2 … ..... … … … … … … Based on the tables 1 and 2 above, the following formulas were utilized in the statistical processing of data for each class (in our scientific work divided into groups A, B, and B) to comply with mathematical statistics. The mean arithmetic value of the parameters obtained (the amount of glucose in the blood and the ER in the BFP) is calculated using the formula (1) American Journal of Technology and Applied Sciences Volume 12, May, 2023 P a g e | 81 www.americanjournal.org where , Y- is the amount of glucose in the blood; The amount of ER obtained from the BFP in Xi. We deduce the average arithmetic value from the formula below (2) Using the formula (2), all parameter values serve as a formula evaluating the deviation of the arithmetic mean of this parameter. Parameters dispersion is calculated using the following formula (3) The value of the arithmetic mean of the error is determined by the following formula (4) The algorithm and software for the statistical processing results using the formulas (1), (2), (3) and (4) above were created in C ++ programming languages. Graphic presentation of the mean arithmetic value of the ER in BFP in healthy people under average 24 years of age shows that the graphic representation of the mean arithmetic value of the ER in BFP is shown in Figure 1 below, and the mean age is 40 in healthy people And graphics in the 3.4 drawings by type 1,2 of TD. American Journal of Technology and Applied Sciences Volume 12, May, 2023 P a g e | 82 www.americanjournal.org By using the interval method, the results of the ER in healthy BFPs were taken as the "normal corridor of healthy people", on the basis of which scientific observation of the comparison of TD results in patients with type 1 outcome was carried out, below the ER "norm corridor" in some BFP less and mostly in the upper part, and are shown in Figures 5 and 6 below. Figure 5. Comparison schedule of healthy men with type 1 and type 24 of TD. Figure 6. Results of the comparison between the 2 nd type of QD and the healthy 40-year-old. The statistical processing algorithm and its main window in C ++ are shown in Figure 7 below. American Journal of Technology and Applied Sciences Volume 12, May, 2023 P a g e | 83 www.americanjournal.org Figure 7. The main window of the Statistical Processing Program The results of statistical processing using the formulas (1), (2), (3) and (4) above, graphic images from above in Figures 1, 2, 3, 4, and interval conclusions made in Figures 5 to 6 the relationship between glucose content and ER in BFPs is matched by mathematical laws (see Figure 8). and as a result, it has been proven that ANGMM models can be created. Picture 2.8. The interval of the TQ in the 1,2 and the healthy people in the BFP. In summary, as a result of scientific experiments, the following results were determined: 1. Processing data based on computer-based computational experiments, the limits of vibrations of glucose and ER levels in healthy people, the appropriate minimum and maximum values of the values (ER in informative BFP 139.0 ), and it was recognized as a "Healthy Norm Corridor". 2. According to the vibration limits in the TD, when the glucose content in the blood was 6.5- 21 mmol / l, the ER in the informative BFN was changed from 16.4 kOm to 695.4 kOm. 3. Calculation experiments have shown that uncertainty in the intersection of the corridors of norms, ie, the emergence of an unstable environment, is based on the effectiveness of the theory of nontraditional collections. 4. The need for biofysical parameters of BFPs and healthy glucose levels in TD and healthy people, as a result of initial data processing, was scientifically justified in its mathematical models. American Journal of Technology and Applied Sciences Volume 12, May, 2023 P a g e | 84 www.americanjournal.org REFERENCES 1. 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