ISI Journals

Autoimmune diseases are a group of disorders that arise when the immune system attacks the body's own cells. The diagnosis of autoimmune diseases often involves complex and time-consuming processes that require the integration of multiple sources of information. Multi-agent systems (MAS) have been used to improve the efficiency and accuracy of disease diagnosis. However, the performance of MAS can be affected by dynamic changes in the environment. This article explores the use of adaptive routing in MAS for autoimmune disease diagnosis. The literature review examines the current state of autoimmune disease diagnosis, the challenges faced by MAS, and the potential benefits of adaptive routing. The research methodology involves the development of a MAS with adaptive routing for autoimmune disease diagnosis. The results show that adaptive routing can improve the efficiency and accuracy of MAS for autoimmune disease diagnosis. The conclusion discusses the implications of these findings for future research and the potential for adaptive routing to improve disease diagnosis in other healthcare domains.