name
Khalafyan Aleksan Albertovich
Scholastic degree
•
Academic rank
associated professor
Honorary rank
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Organization, job position
• Kuban State University
кафедра прикладной математики
профессор
Research interests
Статистический анализ данных
Web site url
—
Current rating (overall rating of articles)
0
TOP5 co-authors
Articles count: 6
Сформировать список работ, опубликованных в Научном журнале КубГАУ
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DECISION MAKING SUPPORT INFORMATION SYSTEM IN SPHERE OF SMALL AND MEDIUM BUSINESS COMPANIES SOLVENCY
Description
Destabilization of the economic situation in Russia at the end of 2014 and in early 2015 has influenced small and medium businesses (SMB) landing at first. One of the most important reason of high lending risks and, as a result, high lending rates is absence of reliable information systems for assessment of SMB enterprise default according to total analysis of their financial activities. Thus nowadays the reliable assessment of SMB enterprises solvency is the fundamental scientific problem, which one is highly actual for each credit organization because the bankruptcy of a credit institution is depended on it. At the same time high competition at the landing market leads to necessity of individual credit conditions existing, which takes into account borrower’s and lender’s benefits. In the present work the creating of reliable information and analytical systems for assessment of SMB company default method is suggested. This one is based on integration of probabilistic and statistical classification analysis methods (discriminant analysis, logistic regression, and classification trees), heuristic procedures (neural network) and interactive shell of the system using cloud technology. By the authors, there was solved the problem of small data amount, exception anomalous values and discrepancy normal distribution of sample by the generation of enterprises financial activity model database
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Description
In the region, there is a problem of effective management of the pharmaceutical benefits under the benefit programs and the implementation of the therapeutic process. In health care in prescription health products of preferential category of citizens we have more than five different software developers involved that doesn’t allow controlling the prescription at all levels of health administration of the region. In order to form information flows into a single space it is necessary to have an integrated software product involved, both in the prescription, and in their service. The article presents a review of existing systems for issuing and servicing of preferential recipes, and prescriptions for controlled medicines, in the context of healthcare of the Krasnodar region, including considered the variety of products offered by different developers. The concept of integration of existing systems, which will allow overcoming the difficulties associated with fragmented solutions in automation preferential drug provision. For information exchange we encourage to use the XML format, examples of requests and responses in SOAP
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MATHEMATICAL MODELS OF MEDICALECONOMIC CONTROL OF DRUGS PRESCRIPTION
01.00.00 Physical-mathematical sciences
Description
The federal program on essential drugs provision (EDP) is one of the most significant and socially important state projects; it is directed to the reduction of morbidity and mortality together with the improvement of life quality of the society and its social climate. In accordance with the federal law “On social state assistance” from 17.07.1999 №178- FL, the essence of the program is that medical recipes are dispensed for preferential medicines to be received by federal program participants. The medical-economic control (MEC) of the drugs designation and provision of federal benefit recipients is performed basing on the automated registries examination of released drugs. The number of passed and failed examination recipes is determined according to the registers processing results. A certain percentage of the accepted for payment prescriptions is a subject for MEC. For the purpose of the recipes selection for testing, the paper proposes the mathematical models of criteria application and MEC-planning. The game model of organization and MEC performance in health care organizations is build basing on the theory of games. The considered play model suggests that the health services quality examination need to be adjusted and some strategies are to be improved. The solution on the planning of checked recipes number allows to perform the inspection of all the health care organizations, involved in EDP program
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Description
In the present work Russian enterprises non-payment risk method is suggested. This one is based on methods of classification analysis in the case of financial indices patterns of the enterprise are known. The STATISTICA VISUAL BASIC (SVB) programm-module was created for automatisation of classificaton process
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Description
The dynamic development of information technologies in medicine of the Krasnodar region, associated with the introduction of modern information systems in healthcare for 2011 - 2014 years has an impact on the system of issuing and servicing preferential recipes and prescriptions for controlled drugs. The introduction of a fundamentally new system of health care based on modern standards, common to the whole territory of the Russian Federation could not be possible to implement without providing healthcare organizations the tools to monitor indicators of prescribing beneficiary drug coverage (BDC) transmitted electronically to pharmacies. In supplying all the participants of the program with the necessary drugs (ND) in the Krasnodar region there is an urgent problem and visualization of information of BDC activities. Improving management by improving the efficiency and reliability of the information for all levels of management in a hierarchical structure of health is directly related to the quality of social services for certain categories of citizens in accordance with the Federal Law issued on July, 17th 1999 178-FZ "On state social assistance." This paper describes a methodology for the creation of a single automated database, which can be placed in both the private secure cloud and in the public, with the possibility of access to information in the workplace using the Internet. Working with a database is implemented by means of language T-SQL. Access to the system of end-users is implemented with taking into account the information security by means of the technology called "thin client". As an application, we use the Services Reporting Services - Reporting server platform that provides opportunities for convenient work with reports of various data sources. The database is filled according to the information of the state health care budget "Medical Information and Analytical Center" of The Ministry of Health of the Krasnodar region. We have also solved the problem of the processing of personal data by the method of introducing their depersonalization identifiers
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STRUCTURE AND CONTENTS OF A DECISION SUPPORT SYSTEM IN THE PREFERENTIAL MEDICINAL MAINTENANCE SPHERE
Description
According to the Federal Law "On state social assistance" of 17 July 1999 ( 178-FL), the medicaleconomic preferential drugs prescription control (MEC) is considered to be one of the tools for improving the management activity by enhancing the information efficiency and reliability at all management levels in the health care hierarchical structure. MEC is one of the medical care quality examination forms. Theoretical and applied research of system linkages and regularities of the MEC process functioning is a relevant direction of information technologies development in medicine. The importance of application of system analysis methods to the health care sphere consists in the development of new and the improvement of existing methods and analysis tools, data processing and management of complex automation systems of medical and economic drugs prescription validity control (MEC) planning. The developed decision support system (DSS) includes the MEC information system as basic and the ABC / VEN-analysis subsystem, implemented as a standalone application. The interaction between the DSS modules is provided by the unified exchange formats of preferential recipes data. At the same time, the MEC information system and ABC / VEN-analysis subsystem could be the most effective tools as an integral part of situational centers
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