Classification results of coronary heart disease database by using the clonal selection method with receptor editing
Fourth International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2008
Page 145-150
published_at 2008-12
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| File | |
| Title ( eng ) |
Classification results of coronary heart disease database by using the clonal selection method with receptor editing
|
| Creator |
Sakamoto Yasuaki
Ichimura Takumi
Hara Akira
Takahama Tetsuyuki
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| Source Title |
Fourth International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2008
|
| Start Page | 145 |
| End Page | 150 |
| Abstract |
The clonal selection principle is used to explain the basic features of an adaptive 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 selection principle that explicitly takes into account the affinity 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.
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| NDC |
Technology. Engineering [ 500 ]
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| Language |
eng
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| Resource Type | conference paper |
| Publisher |
IEEE SMC Hiroshima Chapter
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| Date of Issued | 2008-12 |
| Rights |
(c) Copyright by IEEE SMC Hiroshima Chapter.
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| Publish Type | Version of Record |
| Access Rights | open access |
| Source Identifier |
[ISSN] 1883-3977
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