For successful treatment of enteroviral infections potential drug addition to specificity of action should have special pharmacokinetic properties, who allow it to exist in the gastrointestinal tract in sufficient therapeutic concentration. The purpose of this study is visualization of distribution in different sections of the intestine protein molecules of interferon α-2b immobilized on polyethylene glycol-1500 by using technology of electron-beam synthesis. To visualize the distribution in the intestines used the drug marked fluorescein isothiocyanate. In anesthetized rats into intestines were fixed the tubes for the solutes in proximal and distal sides. After washing of fragments of intestinal carried perfused solution FITC-labeled interferon. An extracted intestines pattern was sliced ВЕСТНИК НОВЫХ МЕДИЦИНСКИХ ТЕХНОЛОГИЙ, электронный журнал – 2017 – N 4 JOURNAL OF NEW MEDICAL TECHNOLOGIES, eEdition – 2017 – N 4 to the cryostat and samples were studied by the confocal microscopy, the microscope LSM 710. Immobilized on polyethylene glycol-1500 by using technology of electron-beam synthesis interferon α-2b has significant bioadhesion on the intestinal mucosa. The degree of bioadhesion of the FITC labeled pegylated by using electron beam technology synthesis interferon α2-b throughout the small intestine (duodenum, jejunum and ileum) is equally large. Most expressed the degree of absorption in the duodenum and jejunum. Bioadhesion the FITC labeled pegylated by using electron beam technology synthesis interferon α2-b in colon is less pronounced than in the small intestine. Absorption is carried out mainly in the cecum and rectum. Thus, the tested preparation can be considered as a prototype of an oral medication for the treatment of enterovirus infection.

The maintenance of registers on problem areas of health requires careful verification of data at all levels of collection. To this end, individual modules, along with built-in monitoring tools, are created that allow you to identify errors after the accumulation and statistical processing of the data array, including the points for analytical testing. The article suggests the analysis of the monotony of changing factors as one of the methods of analytical testing on the example of the real case of mortality monitoring in the Tula region. As a source of information, the mortality register was used, in the base of which the deaths of the population of the Tula region were accumulated and verified from 2007 to 2016. The reliability of the information was provided by software tools built into the register, methods and, above all, an external module for automatically determining the original cause of death. Analysis of diseases of the nervous system and diseases of the circulatory system as an original reason showed an abrupt change in the number of cases in 2013 and the average life expectancy. The above example shows that a violation of the monotonicity of the change in the analyzed factor can be used as one of the methods of analitical testing. The proposed method makes it possible to identify methodological errors that can lead to serious consequences and significantly reduce the effectiveness of monitoring in key health categories such as mortality and life expectancy.

An algebraic model of constructive logic is intended to build multivariate non-linear logical mathematical model and is widely used in analytical studies in medicine and biology. An important stage of its construction is the data preparation in accordance with the following requirements: ▪ The optimal choice of the analyzed factors with the following features: the pursuit of the researcher to involve the largest possible number of factors is a common mistake; factors must be independent; it is advisable to select only those factors that meet the research objectives; the ability of the algorithm to exclude certain fac-tors from the resulting mathematical model, it is observed, when the array of data input is sufficiently complete; the ability to use both continuous variables and discrete; the mathematical model is a more compact, if less factors are used, this model is easier to analyze and identify the characteristics of the test process. ▪ Verification of the data is the identification and correction of errors at the stage of entering the informa-tion into the database; using the built-in intelligent tools that facilitate the process of correct coding of medical information; additional data verification by using special techniques, such as the analytical testing method in the database records. ▪ Selecting of objective study with the following features: the goal can be represented not only two dis-crete (the goal is achieved or not achieved), but also a large number of them; the more discrete, the amount of base should be larger; possibility to use calculated target value by using various criteria. ▪ Presence of the necessary number of entries for a full analysis, it is necessary to ensure compliance with each of the target case (corresponding to the goal) at least two cases of non-target (not corresponding to the goal). ▪ Choice of software options is adequate available data. These requirements will allow to performing the analytical studies in accordance with the required relia-bility.

This article presents the features of the use of the recognition algorithm of the text by method "slitherring widening window" for coding the plural reasons to deaths. The used algorithm dynamically "adjusts" degree of the coincidence and finds the most similar variant, as well as allows to recognize the text with grammatical errors and with ceased word in wording of the reason to deaths. The authors propose three variants to realization of the recognition algorithm of the text, that increase the speed of action. The first variant is based on the elimination of one of its replacement cycle by calculating the simultaneous windows with different sizes (1 to 16). The second variant is based on the pre-filter, for example, by scanning three letters, and the use of the intermediate base for receiving the filtered information. This option allows you to reduce the amount of sorted data and thereby increases performance. The third variant based on the filtering, involves sorting information in the query executed on the basis of previous information query filtration. The advantages and disadvantages identified for each option. The results were evaluated on the speed of action and accuracy of recognition. In this framework, there were 8472 languages used for encoding of multiple causes of death. The described analysis is useful in developing a software module used to register mortality. It is recom-mended the third option, based on the filter, to implement the language Visual C ++.

Multivariate analysis, including algebraic model of constructive logic, is often used in medical practice and biological research. To carry out such studies, it is necessary a array of source information (analyzed cases) and purpose, which is most often selected one of the values of the factors. At the same time, in the practice of analytical calculations there are cases when the target value cannot be set explicitly. The aim of this work is to provide a method of calculating target values for specific cases of morbidity and mortality. The proposed method is based on counting the number of instances of each value of each factor and their share in the total number of cases. The product of the assessed values of each involved factor, compared with the set of the threshold value, determines a value corresponding to the achievement of the goal. To confirm the proposed method on the array of 208269 deaths, the authors built a mathematical model using algebraic model of constructive logic. Evaluation of a mathematical model confirmed the performance of the proposed method of calculating the target value, since the simulation results are most consistent with known estimates obtained by other methods.

Making the expert systems in medicine and biology’s was always considered complex and actual problem, for decision which possible use the mathematical device to algebraic model of the constructive logic. He allows it is enough simply to value probability of the upshot of the analyses event by summations of the powers that resulting forming mathematical model, which satisfy the limit of the determination falling factor into them. To get probability it is enough to separate the got amount on greatly possible value. At, accuracy of the expert system depends on accuracy of the count to greatly possible total power. In the known way of the calculation to greatly possible total power mathematical model is used as filter, through which necessary to miss all events. At, the way суммируются the powers that resulting component, which satisfy conditions determinations falling factor into them. This way shall use then, when mathematical model is built on very большом array data. However the analytical studies often meet in practical work with limited number of the events. For this in article is offered other way of the count to greatly possible total power, founded on comparison limit determinations factor. The Offered way of the determination to maximum power allows to raise accuracy of the expert system if there are restrictions on amount of the events of the source array data, but more built in realization.

Mathematical device of algebraic model of constructive logic has been used for many years for multivariate analysis in medicine and biology most often to identify causal relationships. This mathematical apparatus can be used for more complex analysis schemes for the purpose of determining the contingent of patients who require this method of treatment. The proposed method is a two-step analysis using algebraic model of constructive logic with different specified purposes and subsequent analysis of the resulting final components of the mathematical model. As a result, it is possible to identify restrictions and to quantify the number of patients who need to analyzed method of treatment. The proposed method is explained by an analytical study of hyperbaric oxygen therapy in oncological pathology. Analysis of the results revealed 7,87-39,35% of patients requiring hyperbaric oxygen therapy. The authors revealed the restrictions presented resulting final components of the mathematical model in the form of limits of detection of the combined factors. The equity analysis of values of the resulting components of the mathematical model is associated with the need to calculate the maximum possible total power of the resulting components of the mathematical model, used in expert systems.

Mathematical device of algebraic model of constructive logic has been used for many years for multivariate analysis in medicine and biology. The resulting mathematical model is represented by a set of output components in the form of factors indicating the detection restrictions, which are united by the sign of con-junction (indicating joint influence). Each resulting component is characterized by a capacity, which is the es-sence of the number of rows in the table with the same factors and their intervals of definition. These capacities characterize the degree of influence of the resulting component on the overall result. The input table must not contain contradictions (when the goal is achieved and not achieved when the same values of the factors). For this purpose, the computer program provides for an exception to those target lines, which coincide with non-target rows. However, this is not always acceptable in cases of a large number of matching target lines and unit numbers of non-target rows or vice versa, because a large number of cases is excluded because of a single non-target rows or single target lines. These contradictions arise, primarily, due to the probabilistic nature of the cases. This is clearly seen in the monitoring of mortality. In this article the authors propose three ways optimum yield conflicting source data, based on the excess multiplicity of frequencies matching target and non-target cases and estimates of confidence intervals. The pro-posed methods are examined by analyzing data on deaths of persons aged 18 years and older, residents of the Tula region for 2007-2014 (total 208269 cases). An age cohort 45-54 years is a goal of study. The application of methods of optimum yield conflicting source data is a necessity, which not only im-proves the mathematical model, but, in some cases, is the only way to perform multivariate analysis. All pro-posed methods have their own scope of use, depending on the circumstances.

For many years, algebraic constructive logic model is used for multivariate analysis in medicine and biology. The classic version of this model includes the exclusion of contradictory accounts, i.e. when the target is achieved and not achieved in the presence of the same values of the factors. In this case, the lines as appropriate to achieving target, and its failure are removed, including significant proportions. Another feature of this algorithm is the partial overlap of the intervals to determine the factors resulting in components in achieving a target and not achieving despite the exclusion of contradictory accounts. The authors explain this by the fact that the classical algorithm generates the detection limits of the factors in resulting components with some capture values that are related to the lines of not achieving the target (up to inappropriate values). To some extent this reduces the accuracy of the mathematical model. A further feature of the algorithm is the necessary to optimize mathematical model by excluding re-coating lines. This is acceptable, but not optimal. This requires additional procedures at the final stage of formation of the mathematical model. The proposed version of the algebraic model of constructive logic allows to eliminating the above drawbacks. This is achieved the measure of approximation and a way of combining the cases in the resulting components. The proposed algorithm was tested using specially designed software that allows to exclude controversial cases and to form a mathematical model. Testing showed that the proposed algorithm is better than the classic version and meets the objectives of multivariate analysis in medicine and biology.

The article presents the analysis results of 182897 rates of deaths of the adult population in the Tula region since 2007 to 2013, which were obtained by means of software, in the frame of the international project. To ensure high validity of data, the automatic determination of the initial reason to deaths, automatic transposition of the lines of the reasons to deaths for recovering the logical sequence, posthumous diagnostics were used. The Analysis of the age cohorts was carried out based on the graphs constructed for each age cohort schedule with the imposed trend. Mortality monitoring made by Public Health of the Tula region, as well as measures control allowed to reduce the mortality in cohort 45-54 age which resulted in the displacement of the high mortality of this cohort in a cohort of older age 55-64. Little progress in reducing mortality in men compared with women was identified. There is a steady decline in mortality, which requires detailed analysis of the age groups 25-34, 35-44 men and 20-24, 35-44 women and the development of control actions. To further reduce mortality, it is advisable to focus on the age cohort 55-64. Received and verified data is the basis for a detailed analysis by class of diseases.

This paper describes the experience of analytical calculations in medicine and biology using the mathematical apparatus of algebraic model of constructive logic, created with Russia in 1983. Basically it is a model intuitionism calculus, displaying the inductive part of the thinking - formulation of a relatively small set of summary of the information arrays of large dimension. The initial data to build the model is a table. Each row in this table is treated as a case in which the values of the factors are listed in the form of any numeric value, and the result of their exposure. The resulting model is represented by a set of the resulting components as factors indicating the detection limits, combined mark conjunction (pointing to the joint effect). Each resulting component characterized by the capacity, which is the essence of the number of rows in the table that meet the specified limits of the determining factors in their joint action defined by algebraic model of constructive logic. Optimality is demonstrated by a comparison with a dead-end disjunctive form, as not allowing further simplification in the synthesis of combinational logical schema. The algorithm has the potential partial avoidance of the impact of hidden variables that are slowly evolve over time. The stages of the analysis, including the building of the expert system, are demonstrated and also the ways of further improvement of the algorithm are specified. An algebraic model of constructive logic of their capabilities is not inferior to neural network algorithms for analytical capabilities, convenient in use and doesn´t require the training phase. An algebraic model of constructive logic is fundamentally different from many well-known algorithms including neural network algorithms. Its use along with other allows to reach greater confidence in the assessment of the results.

This paper describes the experience of analytical calculations in medicine and biology using the mathematical apparatus of algebraic model of constructive logic, created with Russia in 1983. Basically it is a model intuitionism calculus, displaying the inductive part of the thinking formulation of a relatively small set of summary of the information arrays of large dimension. The initial data to build the model is a table. Each row in this table is treated as a case in which the values of the factors are listed in the form of any numeric value, and the result of their exposure. The resulting model is represented by a set of the resulting components as factors indicating the detection limits, combined mark conjunction (pointing to the joint effect). Each resulting component characterized by the capacity, which is the essence of the number of rows in the table that meet the specified limits of the determining factors in their joint action defined by algebraic model of constructive logic. Optimality is demonstrated by a comparison with a dead-end disjunctive form, as not allowing further simplification in the synthesis of combinational logical schema. The algorithm has the potential partial avoidance of the impact of hidden variables that are slowly evolve over time. The stages of the analysis, including the building of the expert system, are demonstrated and also the ways of further improvement of the algorithm are specified. An algebraic model of constructive logic of their capabilities is not inferior to neural network algo rithms for analytical capabilities, convenient in use and doesn't require the training phase. An algebraic model of constructive logic is fundamentally different from many well-known algorithms including neural network algorithms. Its use along with other allows to reach greater confidence in the assessment of the results.