Abstract
This paper describes "The Medical Diagnostic Support System using Extended Neural Network Based on Intelligent Multiagent Techniques". Multiagent technologies enable us to explore their sociological and psychological foundations. A medical diagnostic 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. Initial values of Artificial Neural Network and Rough Neural Network changed, and improved precision than these combined with Genetic Programming. The data of the prostatic cancer offered by the medical institution and a renal cancer was used for verification of a system.
