New Multi-Agent architecture of visual Intelligent Decision Support Systems application in the medical field

Currently, Decision support systems in dynamic and complex environment involves the use of visual data mining technology for interactive data analysis and visualization. This paper presents a new architecture for designing such systems. The envisaged architecture based on the Multi-Agent System to improve coordination and communication between the different system modules to generate the appropriate solution for a specific problem. In this work, we have applied the proposed architecture to develop visual intelligent clinical decision support system for the fight against nosocomial infections. The developed prototype was evaluated to show the new architecture applicability.