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COMPUTING SYSTEMS AND NETWORKS
A. V. Alekseev, A. V. Chernov, K. A. Subareva, A. A. Holostov, V. A. Sviridov High-Performance Computing Systems. Development of Normative Base
INTELLIGENCE SYSTEMS AND TECHNOLOGIES
V. V. Arlazarov Analysis of the Usage of Problem-Oriented Datasets in Scientific Research
I. A. Krivosheev, M. A. Linnik Dynamic Algorithm of Steganographic Information Embedding Based on LSB
N. Z. Valishina, S. A. Ilyuhin, A.V. Sheshkus, V. L. Arlazarov Automatic Training Data Filtering for Errors Removing and Improving the Quality of the Final Neural Network
V. A. Fedorenko, K. O. Sorokina, P. V. Giverts Multigroup classification of Firing Pin Marks with the use of a Fully Connected Neural Network
V. O. Sirotyuk Methods for Constructing and Analyzing an Ontological Model and a Master Database of a Digital Intellectual Property Fund
MATHEMATICAL MODELING
A.Y. Popkov, Y.A. Dubnov, Y.S. Popkov Forecasting of COVID-19 Dynamics in EU Using Randomized Machine Learning Applied to Dynamic Models
A. V. Smirnov, E. G. Moll, N. N. Teslya Consideration of Human Factors Influence on the Process of Socially-Oriented Decisions Making During Hospitalization in an Epidemic
A. A. Zuenko, A. G. Oleynik, Y. A. Oleynik Integration of Conceptual Modeling and Constraint Programming for the Synthesis of Flowsheets
B. A. Avdeev , A. V. Vyngra , S.G. Chernyi Investigation of the Operation of a Two-Circuit Control System for a Direct Current Propulsion Electric Drive of Autonomous Underwater Vehicles with Parametric Correction
A. V. Smirnov, E. G. Moll, N. N. Teslya Consideration of Human Factors Influence on the Process of Socially-Oriented Decisions Making During Hospitalization in an Epidemic
Abstract. 

When making socio-oriented decisions for the hospitalization of patients in difficult epide-miological conditions, it is necessary to take into account a large number of parameters that describe the current situation, the sources of which are the participants in the hospitalization process. However, a large number of parameters significantly complicates the model and increases the decision time. The paper presents an analysis of the significance of human factors for the decision-making process and their use to refine the information model of a cooperative game that describes the process of hospitalization. The architecture of the socially-oriented decision-making support system during hospitalization in a difficult epidemiological situation is presented, which describes the interaction of the main participants in the process and the main program blocks of the system. The results of testing the refined information model show an increase in the quality of decision-making by increasing the importance of factors influencing decision-making, as well as a greater variability of decisions by taking into account human factors.

Keywords: hospitalization, model, human factors, cooperative game, architecture.

PP. 79-94.

DOI 10.14357/20718632220308
 
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