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ID 25640
本文ファイル
著者
Yamaguchi, Daisuke
Katayama, Fumiyo
Takahashi, Muneo
Arai, Masataka
Mackin, Kenneth James
キーワード
Multiagent System
Neural Networks
Medical Diagnostic Support System
NDC
技術・工学
抄録(英)
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.
掲載誌名
Fourth International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2008
開始ページ
157
終了ページ
158
出版年月日
2008-12
出版者
IEEE SMC Hiroshima Chapter
ISSN
1883-3977
言語
英語
NII資源タイプ
会議発表論文
広大資料タイプ
会議発表論文
DCMIタイプ
text
フォーマット
application/pdf
著者版フラグ
publisher
権利情報
(c) Copyright by IEEE SMC Hiroshima Chapter.
部局名
工学研究科