Summary of algorithms and software for processing results of social research

This article is devoted to algorithms and software for analytics module of multifunctional web portal for social researches. It consists of "MultiTest" web-portal short description and also summary of the elements of the Data Mining concept, used in the current system and programming language, used for their realization

Analysis of Social Wellbeing Parameters in Russia

This article is devoted to dynamics of the social wellbeing index counted for Siberian region in context of the modernization processes in Russia. The study is based on representative samples from population surveys conducted in 2011 and 2015. It is complemented by the Russian region's modernization map, which was prepared within the data calculated under the procedure developed by Modernization Research Center of China Academy (adapted for Russia). It has been found that the social wellbeing of the population has not significantly changed over the last 5 years despite the current crisis. Also regions are unbalanced in terms of modernization processes, most of them don't even reach the level of capital cities in terms of modernization parameters and social welfare. Tomsk region is a remote Siberian region, but it has the specific "innovative" status and it shows better wellbeing indicators than Russia as a whole. The study was conducted under the RFH sponsorship as project №15-03-00366 "Social and cultural factors of the new modernization in the regions (on research in the Tomsk region)"

Teaching a neural network modeling socio-economic development of the region

The article is devoted to the formation of an array of data for the construction of an artificial neural network, designed to search for relationships between social and economic parameters of the development of regions of the Russian Federation. The relevance of research in this area is confirmed both by a large number of studies in the field of regional comparativistics and by the limited methods used in this kind of research, often limited to descriptive methods and basic techniques of parametric statistics. Under these conditions, the expansion of the mathematical apparatus and the more active introduction of information technologies (including in the area of Big Data analysis and the construction of predictive models based on artificial neural networks) can be viable. At the same time, however, it should be noted that the resources of an individual research team may be (and most likely will be) insufficient to create their own software solution for the implementation of machine learning algorithms from scratch. The use of third-party cloud-based software platforms (primarily IBM and Google infrastructures) allows to bypass the problem of the research team’s lack of expensive material and technical base, however they impose a number of limitations dictated by the requirements of the existing machine learning algorithms and the specific architecture provided platforms This puts the research team in front of the need to prepare the accumulated data set for processing: reducing the dimension, checking the data for compliance with the platform requirements and eliminating potential problem areas: “data leaks”, “learning distortions” and others. The paper was reported to the section “Sociology of Digital Society: Structures, Processes, Governance” of the International Conference Session “Public Administration and Development of Russia: National Goals and Institutions”

Basic physiological systems indicator's informative assessment for children and adolescents obesity diagnosis tasks

The healthcare computerization creates opportunities to the clinical decision support system development. In the course of diagnosis, doctor manipulates a considerable amount of data and makes a decision in the context of uncertainty basing upon the first-hand experience and knowledge. The situation is exacerbated by the fact that the knowledge scope in medicine is incrementally growing, but the decision-making time does not increase. The amount of medical malpractice is growing and it leads to various negative effects, even the mortality rate increase. IT-solution's development for clinical purposes is one of the most promising and efficient ways to prevent these effects. That is why the efforts of many IT specialists are directed to the doctor's heuristics simulating software or expert-based medical decision-making algorithms development. Thus, the objective of this study is to develop techniques and approaches for the body physiological system's informative value assessment index for the obesity degree evaluation based on the diagnostic findings

Basic physiological systems indicator's informative assessment for children and adolescents obesity diagnosis tasks

The healthcare computerization creates opportunities to the clinical decision support system development. In the course of diagnosis, doctor manipulates a considerable amount of data and makes a decision in the context of uncertainty basing upon the first-hand experience and knowledge. The situation is exacerbated by the fact that the knowledge scope in medicine is incrementally growing, but the decision-making time does not increase. The amount of medical malpractice is growing and it leads to various negative effects, even the mortality rate increase. IT-solution's development for clinical purposes is one of the most promising and efficient ways to prevent these effects. That is why the efforts of many IT specialists are directed to the doctor's heuristics simulating software or expert-based medical decision-making algorithms development. Thus, the objective of this study is to develop techniques and approaches for the body physiological system's informative value assessment index for the obesity degree evaluation based on the diagnostic findings