| Item type |
デフォルトアイテムタイプ_（フル）(1) |
| 公開日 |
2023-03-18 |
| タイトル |
|
|
タイトル |
The Medical Diagnostic Support System Using Extended Neural Network and Multiagent |
|
言語 |
en |
| 作成者 |
Yamaguchi, Daisuke
Katayama, Fumiyo
Takahashi, Muneo
Arai, Masataka
Mackin, Kenneth James
|
| アクセス権 |
|
|
アクセス権 |
open access |
|
アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
| 権利情報 |
|
|
権利情報 |
(c) Copyright by IEEE SMC Hiroshima Chapter. |
| 主題 |
|
|
主題Scheme |
Other |
|
主題 |
Multiagent System |
| 主題 |
|
|
主題Scheme |
Other |
|
主題 |
Neural Networks |
| 主題 |
|
|
主題Scheme |
Other |
|
主題 |
Medical Diagnostic Support System |
| 主題 |
|
|
主題Scheme |
NDC |
|
主題 |
500 |
| 内容記述 |
|
|
内容記述 |
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. |
|
言語 |
en |
| 出版者 |
|
|
出版者 |
IEEE SMC Hiroshima Chapter |
| 言語 |
|
|
言語 |
eng |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_5794 |
|
資源タイプ |
conference paper |
| 出版タイプ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| 収録物識別子 |
|
|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
1883-3977 |
| 開始ページ |
|
|
開始ページ |
157 |
| 書誌情報 |
Fourth International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2008
Fourth International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2008
p. 157-158,
発行日 2008-12
|
| 旧ID |
25640 |
11-07-SC080007.pdf (149.3 KB)
