The medical diagnostic support system using extended Rough Neural Network and Multiagent

Multiagent technologies enable us to explore their sociological and psychological foundations. Amedical dignostic support system is built using this. Moreover, We think that the data inputted can acquire higher diagnostic accuracy by sorting out using a determination table. In this paper, the recurrence diagnostic system of cancer is built and the output error of Multiagents learning method into the usual Neural Network and a Rough Neural Network and Genetic Programming be compared. The data of the prostates cancer offered by the medical institution and a renal cancer was used for verification of a system.