Cloud decision support service in cardiology based on formalized knowledge
https://doi.org/10.29001/2073-8552-2020-35-4-32-38
Abstract
The paper presents the service for support of diagnostic decision-making in cardiology. The general principles for the development and conceptual architecture of smart service and its information and software components are described. The features of diagnosis and differential diagnosis of cardiac diseases on the medical portal of the IACPaaS cloud platform are presented.
Keywords
decision support service,
ontological approach,
terminology base for cardiology,
knowledge base,
remote diagnosis of cardiovascular diseases
Supporting agencies: This work was supported, in part, by the Russian Foundation for Basic Research, projects 18-29-03131 and 19-29-01077
About the Authors
V. V. Gribova
Institute of Automation and Control Processes, Far Eastern Branch of the Russian Academy of Sciences
Russian Federation
Russian Federation
Valeria V. Gribova, Dr. Sci. (Tech.), Deputy Director for Research, Scientifi c Supervisor of the Intelligent System Laboratory
5, Radio str., Vladivostok, 690041
M. V. Petryaeva
Institute of Automation and Control Processes, Far Eastern Branch of the Russian Academy of Sciences
Russian Federation
Russian Federation
Margarita V. Petryaeva, Cand. Sci. (Med.), Research Scientist, Intelligent System Laboratory
5, Radio str., Vladivostok, 690041
E. A. Shalfeeva
Institute of Automation and Control Processes, Far Eastern Branch of the Russian Academy of Sciences
Russian Federation
Russian Federation
Elena A. Shalfeeva, Cand. Sci. (Tech.), Senior Research Scientist, Intelligent System Laboratory
5, Radio str., Vladivostok, 690041
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Review
For citations:
Gribova V.V., Petryaeva M.V., Shalfeeva E.A. Cloud decision support service in cardiology based on formalized knowledge. Siberian Journal of Clinical and Experimental Medicine. 2020;35(4):32-38. (In Russ.) https://doi.org/10.29001/2073-8552-2020-35-4-32-38
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