Classification results of coronary heart disease database by using the clonal selection method with receptor editing

URI http://harp.lib.hiroshima-u.ac.jp/hiroshima-cu/metadata/2975
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Title
Classification results of coronary heart disease database by using the clonal selection method with receptor editing
Author
氏名 SAKAMOTO Yasuaki
ヨミ サカモト ヤスアキ
別名 坂本 康朗
氏名 ICHIMURA Takumi
ヨミ イチムラ タクミ
別名 市村 匠
氏名 HARA Akira
ヨミ ハラ アキラ
別名 原 章
氏名 TAKAHAMA Tetsuyuki
ヨミ タカハマ テツユキ
別名 高濱 徹行
Abstract

The clonal selection principle is used to explain the basic features of an adaptice immune response to a antigenic stimulus. It established the idea that only those cells that recognize the antigens are selected to proliferate and differentiate. This paper explains a computational implementation of the clonal maturation of the immune response. The clonal selection algorithm by incorporating receptor editing method, RECSA, has been proposed by Gao. This paper tries to classify the medical database of Coronary Heart Disease databases and reports the computational results for 4 kinds of training datasets.

Description Peer Reviewed
Journal Title
Fourth International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2008
Spage
145
Epage
150
Published Date
2008-12
Publisher
IEEE SMC Hiroshima Chapter
ISSN
1883-3977
Language
eng
NIIType
Conference Paper
Text Version
出版社版
Rights
©Copyright by IEEE SMC Hiroshima Chapter. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE
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