Cloud service for the differential clinical diagnostics of acute respiratory viral diseases (including those associated with highly contagious coronaviruses) with an application of methods of artificial intelligen
https://doi.org/10.25789/YMJ.2020.70.13
Abstract
This paper presents the results of the development of a medical diagnostic service that is based on a model of medical knowledge and an intelligent decision-maker. The development of decision support systems that accumulate advanced knowledge in the diagnosis and treatment of diseases is an important area of medical informatization. Such systems are especially relevant in the period of major epidemic outbreaks, when a huge number of doctors of various profiles are involved in the process of diagnosis, time for decision-making and prescription of treatment is very short, and the diagnosis itself, due to continuous acquisition of new knowledge, is constantly being improved and refined. The methods of artificial intelligence with ontological knowledge bases are the most ready for this challenge. The work describes a cloud service implemented on the IACPaaS platform for differential diagnosis of coronavirus infections (SARS, MERS and COVID-19) from other infections of the respiratory tract of viral etiology.
Keywords
acute respiratory viral infections,
highly contagious coronaviruses,
differential clinical diagnostics,
cloud service,
artificial intelligence
Supporting agencies: The research was carried out with partial financial support from the Russian Foundation for Basic Research (Projects 18-29-03131 and 19-29-01077), and The Program of the Priority Research Projects for the Comprehensive Development of the Far Eastern Branch of the Russian Academy of Sciences (Project 18-5-060).
About the Authors
V. V. Gribova
Institute of Automation and Control Processes of the Far Eastern Branch of the Russian Academy of Sciences;
School of Natural Sciences of the Far Eastern Federal University
Russian Federation
Russian Federation
Valeria V. Gribova – Doctor of Technical Sciences, Deputy Director for Research and a Head of the Laboratory of Intelligent Systems;
Professor
tel.: +79084498959
Vladivostok
B. O. Dmitry
Institute of Automation and Control Processes of the Far Eastern Branch of the Russian Academy of Sciences
Russian Federation
Russian Federation
Dmitry B. Okun – Ph.D., Researcher at the Laboratory of Intelligent Systems
tel.: +74232310424
Vladivostok
E. A. Shalfeeva
Institute of Automation and Control Processes of the Far Eastern Branch of the Russian Academy of Sciences
Russian Federation
Russian Federation
Elena A. Shalfeeva – Ph.D., Senior Researcher at the Laboratory of Intelligent Systems
tel.: +74232674170
Vladivostok
B. O. Shcheglov
School of Biomedicine of the far Eastern Federal University
Russian Federation
Russian Federation
Bogdan O. Shcheglov – Student
Vladivostok
tel.: +79147189825
M. Yu. Shchelkanov
Far East Federal University;
Far Eastern Branch of the Russian Academy of Sciences
Russian Federation
Russian Federation
Mikhail Yu. Shchelkanov – Doctor of Biology, Head of the International Scientific and Educational Center of Biological Safety;
Head of Laboratory of Virology, Federal Scientific Center of East Asia Terrestrial Biodiversity
Senior Researcher at the Laboratory of Marine Mammals
National Scientific Center of Marine Biology, Far Eastern Branch of the Russian Academy of Sciences, (Vladivostok);
Vladivostok
tel.: +79032689098
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Review
For citations:
Gribova V.V., Dmitry B.O., Shalfeeva E.A., Shcheglov B.O., Shchelkanov M.Yu. Cloud service for the differential clinical diagnostics of acute respiratory viral diseases (including those associated with highly contagious coronaviruses) with an application of methods of artificial intelligen. Yakut Medical Journal. 2020;(2):44-47. https://doi.org/10.25789/YMJ.2020.70.13
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