Cloud service for differential diagnosis and personalized treatment of inflammatory heart diseases

The aim of this research is to automate the process of differential diagnosis and prescription of personalised treatment of inflammatory heart diseases. The main method of research is the formation of declarative knowledge bases and a solver explaining its results. The ontology solver interprets the formalized knowledge. Main principles of development and the conceptual architecture of an intelligent service with declarative knowledge are described. Information components for inflammatory heart diseases and software components for the differential diagnostics and personalised treatment are formed. The clinical decision support system for cardiology with the properties of explainable artificial intelligence has been developed. It is hosted on the medical portal of the cloud platform IACPaaS. The practical significance of the results lies in the fact that the system is hosted on a platform with free registration. For the confidence of practitioners, knowledge sources are indicated and testing is performed on data described in the literature. The service is available for experimentation on the role of declarative knowledge base in real-life situations where a third opinion is required. The method used is also practically significant - the rationale for the choice of technologies and algorithms is given, the requirements for the software complex service are identified and formulated, and the steps for the development of all components are outlined. This allows us to reproduce the proposed solution on the same principles of explainable artificial intelligence, but with other knowledge and on another platform.