A medical diagnosis system based on Mas technology and neural networks
dc.contributor.author | Klüver, Christina | |
dc.contributor.author | Klüver, Jürgen | |
dc.contributor.author | Unland, Rainer | |
dc.contributor.editor | Abramowicz, Witold | |
dc.contributor.editor | Maciaszek, Leszek | |
dc.contributor.editor | Kowalczyk, Ryszard | |
dc.contributor.editor | Speck, Andreas | |
dc.date.accessioned | 2019-06-03T12:25:21Z | |
dc.date.available | 2019-06-03T12:25:21Z | |
dc.date.issued | 2009 | |
dc.description.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. | en |
dc.identifier.isbn | 978-3-88579-241-3 | |
dc.identifier.pissn | 1617-5468 | |
dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/23228 | |
dc.language.iso | en | |
dc.publisher | Gesellschaft für Informatik e.V. | |
dc.relation.ispartof | Business process, services – computing and intelligent service management | |
dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-147 | |
dc.title | A medical diagnosis system based on Mas technology and neural networks | en |
dc.type | Text/Conference Paper | |
gi.citation.endPage | 191 | |
gi.citation.publisherPlace | Bonn | |
gi.citation.startPage | 179 | |
gi.conference.date | March 23–25, 2009 | |
gi.conference.location | Leipzig | |
gi.conference.sessiontitle | Regular Research Papers |
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