ID | 19676 |
Eprint ID | 19676
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FullText URL | |
Author |
Nakano Kazuyoshi
Yamaguchi Daisuke
Katayama Fumiyo
Takahashi Muneo
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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 Multiagent 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. Inspection data of the renal cancer consist of special data. We think improvement of the precision of a system which using the data from initial value of the network.
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Keywords | Intelligent Multiagent System
Neural Networks
Medical Diagnostic Support System
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Published Date | 2009-11-10
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Publication Title |
Proceedings : Fifth International Workshop on Computational Intelligence & Applications
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Volume | volume2009
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Issue | issue1
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Publisher | IEEE SMC Hiroshima Chapter
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Start Page | 192
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End Page | 195
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ISSN | 1883-3977
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NCID | BB00577064
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Content Type |
Conference Paper
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language |
English
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Copyright Holders | IEEE SMC Hiroshima Chapter
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Event Title | 5th International Workshop on Computational Intelligence & Applications IEEE SMC Hiroshima Chapter : IWCIA 2009
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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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