ID | 14823 |
Eprint ID | 14823
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FullText URL | |
Author |
Yamaguchi Daisuke
Katayama Fumiyo
Takahashi Muneo
Arai Masataka
Kenneth James Mackin
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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.
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Keywords | Multiagent System
Neural Networks
Medical Diagnostic Support System
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Published Date | 2008-12-11
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Publication Title |
Proceedings : Fourth International Workshop on Computational Intelligence & Applications
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Volume | volume2008
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Issue | issue1
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Publisher | IEEE SMC Hiroshima Chapter
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Start Page | 157
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End Page | 158
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ISSN | 1883-3977
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Content Type |
Conference Paper
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language |
English
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Event Title | Fourth International Workshop on Computational Intelligence & Applications IEEE SMC Hiroshima Chapter : IWCIA 2008
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Event Location | 東広島市
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Event Location Alternative | Higashi-Hiroshima City
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File Version | publisher
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Refereed |
True
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Eprints Journal Name | IWCIA
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