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ID 14823
Eprint ID
14823
FullText URL
Author
Yamaguchi Daisuke
Katayama Fumiyo
Takahashi Muneo
Arai Masataka
Kenneth James Mackin
Abstract
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 Mul-tiagents learning method into the usual Neural Network and a Rough Neural Network and Genetic Programming be compared. The data of the prostatic cancer offered by the medical institution and a renal cancer was used for verification of a system.
Keywords
Multiagent System
Neural Networks
Medical Diagnostic Support System
Published Date
2008-12-11
Publication Title
Proceedings : Fourth International Workshop on Computational Intelligence & Applications
Volume
volume2008
Issue
issue1
Publisher
IEEE SMC Hiroshima Chapter
Start Page
157
End Page
158
ISSN
1883-3977
Content Type
Conference Paper
language
英語
Event Title
Fourth International Workshop on Computational Intelligence & Applications IEEE SMC Hiroshima Chapter : IWCIA 2008
Event Location
東広島市
Event Location Alternative
Higashi-Hiroshima City
File Version
publisher
Refereed
True
Eprints Journal Name
IWCIA