Multi-Agent System with Adaptive Routing for Multiple Sclerosis Diagnosis
Autour(s)
- Obaid Paal, Sadavir Udichi, Wade Waen, Yachika Zacarias
Abstract
Multiple sclerosis (MS) is a chronic autoimmune disease that affects the central nervous system. Early diagnosis and treatment can significantly improve the quality of life for patients with MS. The current paper proposes a multi-agent system with adaptive routing for MS diagnosis. The system aims to improve the accuracy and speed of diagnosis by leveraging the capabilities of multi-agent systems and adaptive routing. The paper reviews relevant literature on MS, multi-agent systems, and adaptive routing. The proposed research methodology involves designing and implementing a multi-agent system with adaptive routing for MS diagnosis. The paper presents the results of the implementation and concludes by discussing the potential benefits of the proposed system.