Abstract
Abstract: The development of electronic services to help doctors in the diagnosis and treatment of COVID-19 is discussed. The existing systems for such purposes are analyzed, and requirements for them are formulated. The architecture of an intelligent medical decision support system and the basic principles of its development using an ontology-oriented approach are given. The unique capabilities of the system are shown, and its information and software components are described.
Author supplied keywords
Cite
CITATION STYLE
Gribova, V. V., Kul’chin, Y. N., Petryaeva, M. V., Okun’, D. B., Kovalev, R. I., & Shalfeeva, E. A. (2022). An Intelligent System for Medical Decision Support in Differential Diagnosis and Treatment of COVID-19. Herald of the Russian Academy of Sciences, 92(4), 511–519. https://doi.org/10.1134/S1019331622040128
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
