Gesellschaft fr Informatik e.V.

Lecture Notes in Informatics


Business Process, ServicesComputing and Intelligent Service Management P-147, 179-191 (2008).

Gesellschaft für Informatik, Bonn
2008


Editors

Witold Abramowicz, Leszek Maciaszek, Ryszard Kowalczyk, Andreas Speck (eds.)


Copyright © Gesellschaft für Informatik, Bonn

Contents

A medical diagnosis system based on MAS technology and neural networks

Christina Klüver , Jürgen Klüver and Rainer Unland

Abstract


Reliable, cost-efficient, and fast medical diagnosis is still a challenge in today's world. This paper presents a medical diagnosis system that combines the advantages of multi-agent system technologies and neural networks in order to realize a highly reliable, adaptive, scalable, flexible, and robust diagnosis system for diseases. The medical diagnosis system consists of a structured alliance of medical experts - realized by agents - that collaborate in order to provide a viable medical diagnosis. Each agent has a certain responsibility. The agents rely on a reactive pattern-based matching process. Their power is substantially augmented by standard kinds of neural networks (interactive neural nets and self organizing maps), which represent the diagnosis capacity of the agents.


Full Text: PDF

Gesellschaft für Informatik, Bonn
ISBN 978-3-88579-241-3


Last changed 24.01.2012 22:05:10