scholarly journals AB1168 THE ANALYSIS OF “BIG DATA” AND PROCESSING OF UNSTRUCTURED INFORMATION (SEMANTIC HUB PLATFORM) TO IDENTIFY PATIENTS WITH SEVERE GOUT IN THE RUSSIAN FEDERATION.

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1874.2-1875
Author(s):  
E. Ilinykh ◽  
M. Elisеev
Keyword(s):  
Big Data ◽  
Russian Federation ◽  
Life Time ◽  
The Internet ◽  
Medical Specialties ◽  
Text Corpora ◽  
Global Epidemiology ◽  
The Russian Federation ◽  
Semantic Hub ◽  
Unstructured Information

Background:the prevalence of gout and hyperuricemia (HU) in the world remains high, with a stable high incidence of severe gout [1]. There are no data on the prevalence and features of severe gout in the population of the Russian Federation (RF).Objectives:To determine the percentage of patients (pts) with severe gout in the RF among pts with gout who are looking for information about their disease on the Internet, to clarify their average age, gender distribution, comorbidity, difficulties in diagnosing and treating, to get an idea of the most relevant online requests in this cohort.Methods:We used technology for analyzing “big data” and processing unstructured information (semantic intelligence) (the Semantic Hub platform, which scans Google and Yandex environments). For efficient processing of text corpora, several specialized converters were used. The resulting format for these converters is an XML representation of the source data. The study was based on real-life patient cases (specialized social networks, forums, and other sources of user-generated content). Messages from pts with gout and their relatives were used. Severe gout is characterized by frequent polyarticular flares or chronic arthritis, subcutaneous tophi, the presence of concomitant conditions.Results:A total of 16253 messages were processed, with ‘gout’ entered as a search word. A total of 1691 gout pts were identified. The average age of online-active pts - 47.2 years. Men 60.5%. Severe gout was identified in 194 of 1691 (11.5%) pts, with 59% of pts aged 29 to 45 years. The proportion of men among pts with severe gout is 71%. Comorbidities most often include diabetes mellitus and metabolic syndrome - 24%, CKD - 51%, arterial hypertension-14%. Pts with severe gout have 1.9 comorbidities on average, while other pts with gout -1.1. The groups are comparable by age. Among 90 links related to medical specialties that pts visited before being referred to a rheumatologist, the first three leading positions were - orthopaedic surgeon (30%), general practitioner (25.8%), surgeon (21%). Sixty percent of pts reported that the time between the first attack and the diagnosis of gout was less than six months. The remaining 40% of pts report that this period lasted from 1 to 15 years. Less than 42% of pts were prescribed urate-lowering therapy (ULT) during internal consultation of a physician, and only 23% of physicians recommended ULT to pts with gout during online consultation. According to pts’ reports, treatment includes 3 main groups of drugs: NSAIDs, intra-articular corticosteroids and ULT. Compliance with life-time ULT is very low. The most commonly requested topic on the Internet - attacks during holidays - 2426 messages, the second is held by the topic of lifestyle – 1899 messages, the third place - problems of comorbidities – 1813 references, and only in the fourth position - 1662 messages- the topic of ULT.Conclusion:The percentage of pts with severe gout is 11.5% among gout pts who are looking for information about their condition on the Internet, which is consistent with the data from the largest original papers in the RF on the prevalence of severe gout [2]. More than a half of pts with severe gout (59%) are men aged 29 to 45 years. The decreased online activity of pts over 46 years old may be due to the low motivation for treatment of this cohort. Gout pts are rather more concerned about lifestyle than medical problems. This may also indicate the absence of the consistent compliance of this patient category to life-time therapy. Inadequate long-term therapy and late diagnosis may be the main factors for severe gout in young and active pts.References:[1]Kuo CF, Grainge MJ, Zhang W, Doherty M. Global epidemiology of gout: prevalence, incidence and risk factors. Nat Rev Rheumatol. 2015 Nov;11(11):649-62.[2]Eliseev MS, Barskova VG, Denisov IS. The dynamics of clinical manifestations of gout in men (data from 7-year retrospective surveillance). Terapevticheskii arkhiv. 2015;87(5):10–5Disclosure of Interests:Ekaterina Ilinykh: None declared, Maxim Elisеev Speakers bureau: Novartis, Menarini Group, Alium

INTERREGIONAL DIFFERENTIATION OF ACCOMMODATION PROPOSALS IN THE RUSSIAN FEDERATION IN THE INTERNET BOOKING SYSTEM

2021 ◽  
Author(s):  
Е.А. Shchiptsova ◽  
◽  
L.A. Ponkratova ◽  
Keyword(s):  
Russian Federation ◽  
The Internet ◽  
Interregional Differentiation ◽  
The Russian Federation

Interregional differentiation of places of residence was analyzed, maps were compiled according to the data of the Booking.com service.

scholarly journals ASSESSMENT OF ATTITUDES TOWARDS IMMUNIZATION IN DIFFERENT GROUPS OF POPULATION OF THE RUSSIAN FEDERATION

2017 ◽  
pp. 98-103 ◽  
Author(s):  
N. I. Briko ◽  
A. Ya. Mindlina ◽  
R. V. Polibin ◽  
N. P. Galina ◽  
A. S. Gorokhova ◽  
...  
Keyword(s):  
Medical Students ◽  
Mass Media ◽  
Russian Federation ◽  
Positive Attitude ◽  
The Internet ◽  
Sources Of Information ◽  
Low Level ◽  
Technical Students ◽  
The Russian Federation ◽  
Different Sources

Aim. The study the attitude of population towards the necessity of vaccination. Materials and methods. The survey about the attitude towards vaccination among different groups of population was held. In total there were 1209 respondents: 1031 students of medical, humanitarian and technical universities and 178 parents of children under 2. Results. The most positive attitude towards vaccination was shown by medical students (77%) and parents (71%) and only 33% and 37% of humanitarian and technical students correspondency realize the significance of vaccination. It is worth noting that large number of people could not define their attitude to vaccination. The majority of respondents notices the lack of knowledge about vaccination wherein less than 50% of respondents get the information from doctors. The rest gets it from different sources mostly from the Internet. About 80% of respondents would prefer to get answers to their questions about vaccination in the Internet. Conclusion. The adherence of population of Russia to vaccination has a rather low level. The main reason for it is the lack ofknowledge and availability of true information about vaccination. It is necessary to use diverse sources of information to provide the population with true facts about vaccination, its significance and safety via mass media and the Internet as well.

scholarly journals Methods of big data definition: Russian and foreign experience

2021 ◽  
pp. 143-157
Author(s):  
Kseniia Antipova
Keyword(s):  
Big Data ◽  
Russian Federation ◽  
Personal Data ◽  
Legal Regulation ◽  
The European Union ◽  
Legal Doctrine ◽  
Original Definition ◽  
Data Definition ◽  
The Russian Federation

This article explores the main approaches of Russian and foreign authors towards big data definition; reflects the classification of data, components of big data; and provides comparative characteristics to legal regulation of big data. The subject of this research is the legislation of the Russian Federation and legislation of the European Union that regulate the activity on collection, processing and use of big data, personal data and information; judicial and arbitration practice of the Russian Federation in the sphere of personal data; normative legal acts of the Russian Federation; governmental regulation of the Russian Federation and foreign countries in the area of processing, use and transmission of data; as well as legal doctrine in the field of research dedicated to the nature of big data. The relevance of this research is substantiated by the fact that there is yet no conceptual uniformity with regards to big data in the world; the essence and methods of regulating big data are not fully explored. The goal of this research is determine the legal qualification of the data that comprise big data. The task lies in giving definition to the term “big data”; demonstrate the approaches towards determination of legal nature of big data; conduct  classification of big data; outline the criteria for distinguishing data that comprise the concept of big data; formulate the model for optimal regulation of relations in the process of activity on collection, processing, and use of the data. The original definition of big data in the narrow and broad sense is provided. As a result, the author distinguishes the types of data, reflects the legal qualification of data depending on the category of data contained therein: industrial data, user data, and personal data. Attention is also turned to the contractual form of big data circulation.

scholarly journals Model and principles of organizing emergency specialized medical care for children at the stage of medical evacuation

2021 ◽  
pp. 52-61
Author(s):  
O. S. Maltseva ◽  
D. A. Shelukhin ◽  
K. V. Pshenisnov ◽  
Yu. S. Aleksandrovich ◽  
A. A. Redkokasha ◽  
...  
Keyword(s):  
Medical Care ◽  
Russian Federation ◽  
Regulatory Framework ◽  
Critical Conditions ◽  
Federal Law ◽  
Medical Specialties ◽  
Medical Evacuation ◽  
Emergency Medical ◽  
The Russian Federation ◽  
Operational Service

Relevance. The problem of organizing specialized medical care in emergency forms for children is caused by three groups of reasons: the presence at the junction of several adult and pediatric medical specialties, the medical and geographical features of the country and the lack of a unified regulatory framework.Intention. To increase the availability of medical services and reduce regional inequality in their distribution. A model of organizing a single operational service of specialized medical care for children and the basic principles of its functioning on the territory of the Russian Federation are proposed.Methodology. Statistical data, features of legislation, ways of solving the problem in certain regions and the achievements of initiative groups of specialists are analyzed.Results and Discussion. Since 2000, the number of hospital beds for children, the number of emergency medical stations has decreased, and the number of diseases and conditions requiring specialized emergency care for children has increased. Infant mortality rates in remote and hard-to-reach regions exceed the national average by 1.5–2.6 times. At the same time, the current statistics of medical evacuations of children are not accurately reflected in any of the official sources. The regulatory framework for medical evacuation of children includes three “ Procedures for providing medical care “in the profile “ambulance”, “neonatology” and “obstetrics and gynecology” and Federal Law N 323. The law implies the presence of mobile teams in hospitals and departments of different profiles that are not related to each other, but there is no structure that unites them and analyzes the results of work at the federal level.Conclusion. To solve the problem, it is necessary to create a federal operational service and a “hotline” that can be contacted by any resident of the country, to form a federal medical register of critical conditions in children, to develop and implement common principles of diagnosis and treatment. The presented model and principles contribute to the development of a three-level system of emergency medical care and correspond to the goals and objectives of the Ministry of Health of the Russian Federation set out in Letter N 14-3/n/2-2339 of 20.03.2019.

scholarly journals The results of assorted research on the questions of dynamics of victimization from Internet fraud in the Russian Federation (2010-2019)

2020 ◽  
pp. 15-33
Author(s):  
Anton Anatolevich Komarov
Keyword(s):  
Exponential Function ◽  
Russian Federation ◽  
Empirical Data ◽  
The Internet ◽  
Actual Number ◽  
Average Annual Rate ◽  
Internet Fraud ◽  
The Subject ◽  
The Russian Federation ◽  
Criminal Legislation

The object of this research is the process of victimization of population of the Russian Federation from Internet fraud in the period from 2010 to 2019. The subject of this research is a number of criminological indicators that characterize the dynamics of victimization and criminal victimization. Using the empirical data, the author determines the actual number of the Internet fraud victims; built a retrospective model of development of this process based on calculation of the average annual rate of growth; increases awareness on the dynamics of the number of victims until 2013. The conclusion is made on the growing scope of victimization, which according to the data of assorted research of 2013-2019 carries an exponential function. Each three years the total number of victims doubles, which continues to grow since 2012 (associated with the reform of criminal legislation aimed at identification of the additional types of fraud using computer technologies). This pattern was used for structuring the projection models of victimization of users of the Russian segment of the Internet until 2021 (inclusively). The results of additional assorted research of 2020 demonstrate that only in 20% of cases the damage from Internet fraud exceeds 1,000 rubles. In accordance of the principle of recurrence of the Internet fraud, the structure of victimization is as follows: 52% are the victims of such crimes in recent year; 1/3 of respondents were the victims in previous years, but not in recent year; and only 13% became the victims in past years and recent year.  

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