Medical Informatics
Research Article
Cloud service for differential diagnosis and personalized treatment of inflammatory heart diseases
Valeria Viktorovna Gribova1, Elena Arefyevna Shalfeeva2, Margarita Vyacheslavovna Petryaeva3, Dmitry Borisovich Okun4, Leonid Aleksandrovich Fedorishchev5, Roman Igorevich Kovalev6
Institute of Automation and Control Processes of the Far Eastern Branch of the RAS, Vladivostok, Russia| 6 |
koval-995@mail.ru |
Abstract. 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. (Linked article texts in Russian and in English).
Keywords: clinical decision support system, intelligent service, inflammatory heart diseases, knowledge base, ontological approach, specialized solver
MSC-2020
68T30; 92C50
Acknowledgments: The work was carried out with financial support from the state assignment of the Ministry of Education and Science: 0202-2021-0004
For citation: Valeria V. Gribova, Elena A. Shalfeeva, Margarita V. Petryaeva, Dmitry B. Okun, Leonid A. Fedorishchev, Roman I. Kovalev. Cloud service for differential diagnosis and personalized treatment of inflammatory heart diseases. Program Systems: Theory and Applications, 2023, 14:4, pp. 141–188. (In Russ., in Engl.). https://psta.psiras.ru/2023/4_141-188.
Full text of article (PDF): https://psta.psiras.ru/read/psta2023_4_141-188.pdf.
The article was submitted 25.09.2023; approved after reviewing 27.10.2023; accepted for publication 27.11.2023; published online 31.12.2023.
