Insulin-dependent diabetes mellitus (T1DM) is one of the most important problems of our time. This disease plays a significant role in the structure of chronic childhood pathology, leads to severe complications that invalidate a person, and significantly increases mortality at a young age. The study of the incidence of T1DM (the number of new cases of T1DM in a certain population within 1 year) allows you to get answers to a number of questions on its etiology and pathogenesis, to solve the problems of the need to allocate material resources for the organization of preventive and therapeutic measures. Information on the incidence of T1DM in the world applies in most cases to people under the age of 15 years, data for the age group up to 1820 years of age are less common. Epidemiological studies in various countries show an increase in the incidence of T1DM in children. This is shown by the example of Norway, the USA, Finland, Denmark from the 20s of our century, England - from the 50s and other countries over the past 20 years. It is possible to reliably distinguish a true increase in the incidence from an improvement in the detection of diabetes only on the basis of standardized epidemiological studies for certain periods of time. Many countries have compiled national childhood diabetes registries. Thus, in a number of countries standardized information on sex and age was obtained on the incidence of children with T1DM for at least 10 years, divided into 5-year periods. According to these data, the incidence rate has increased in the vast majority of countries over the past 10-20 years. It is noteworthy that the change, namely, an increase in the incidence of type 1 diabetes mellitus in children, is uneven. In some regions of the world, this indicator remained virtually unchanged over fairly long periods of time.

The National Register of Diabetes Mellitus in children living in Moscow has been created. By January 1, 1995 there were 892 children with insulin-dependent diabetes in Moscow. The prevalence and incidence of the disease were, respectively, 57 and 11.2 per 100,000 children. The degree of compensation of the metabolic control in the population in general was poor (Hb A1 13.4+2.8%, Hb Alc 10.012%). The incidence of diabetic retinopathy, cataracts, sensory neuropathy, microalbuminuria, limited morbidity of the joints, growth delay was 4.5, 3.2, 3.3, 8.7, 7, and 3.1%, respectively.

The organizational structure of the National Register of Diabetes Mellitus (NRDM) is discussed, and results of the analysis for one of the territorial centers of NRDM in the Central Administrative District of Moscow are presented. The data indicate that the organization of NRDM appreciably improves the level and quality of medical statistical monitoring of the epidemiological situation as regards the above disease, extends the scope of available information needed for planning and economic validation of diabetologic service in public health, and helps develop the strategy of primary and secondary prophylaxis of diabetes and outline the main trends in epidemiological research. The register data may be used as the database for drug and food plants when planning antidiabetic agents and dietetic foodstuffs.

Analysis of annual and seasonal incidence of insulindependent diabetes mellitus in children living in 4 Russian cities in the 1980ies has shown only four rises of annual morbidity in three cities, but only one of them recorded in 1983 in Moscow conformed to the criteria of an epidemic outbreak of the disease. The incidence of the disease predominated by 29 % in autumn-winter, though there was no clear-cut correlation between diabetes incidence, on the one hand, and incidence of influenza and acure respiratory diseases, on the other.

Objective. The purpose of the work is devoted to the development and description of the mathematical model of the Chinese character recognition system, taking into account all the features of writing the Chinese language. The Chinese language learning app with character recognition module can help you replace a native speaker or home teacher for self-study. However, the developed software applications are based only on the creation of a neural network and cannot provide recognition, taking into account all the features of the language, which is so important when studying, therefore this topic is still relevant.Method. The neural network training model is based on the use of artificial neural networks using the backpropagation algorithm.Result. The article presents a software implementation of a system for teaching Chinese characters, taking into account the peculiarities of writing, the direction of each feature and its exact definition, taking into account the correct sequence and location in the character, as well as controlling the length of the features.Conclusion. Each of the writing features is an integral part of learning a language, since it can not only completely change the meaning of the written hieroglyph, but also help the learner to memorize the hieroglyph in a structured way, giving him a clear structure and algorithm of actions for writing the hieroglyph. When errors are detected when writing, the system will indicate to the user where exactly and in what area the error was made, what feature of the language he did not take into account, and attention should be paid to it.