An Intelligent System for Medical Decision Support in Differential Diagnosis and Treatment of COVID-19

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.