Logo des Repositoriums
 

A medical diagnosis system based on Mas technology and neural networks

dc.contributor.authorKlüver, Christina
dc.contributor.authorKlüver, Jürgen
dc.contributor.authorUnland, Rainer
dc.contributor.editorAbramowicz, Witold
dc.contributor.editorMaciaszek, Leszek
dc.contributor.editorKowalczyk, Ryszard
dc.contributor.editorSpeck, Andreas
dc.date.accessioned2019-06-03T12:25:21Z
dc.date.available2019-06-03T12:25:21Z
dc.date.issued2009
dc.description.abstractReliable, 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.isbn978-3-88579-241-3
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/23228
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBusiness process, services – computing and intelligent service management
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-147
dc.titleA medical diagnosis system based on Mas technology and neural networksen
dc.typeText/Conference Paper
gi.citation.endPage191
gi.citation.publisherPlaceBonn
gi.citation.startPage179
gi.conference.dateMarch 23–25, 2009
gi.conference.locationLeipzig
gi.conference.sessiontitleRegular Research Papers

Dateien

Originalbündel
1 - 1 von 1
Lade...
Vorschaubild
Name:
gi-proc-147-012.pdf
Größe:
220.1 KB
Format:
Adobe Portable Document Format