Abstract
A novel artificial immune network based algorithm for the diagnosis of diabetes is presented. The algorithms implementation includes: (1) creating the initial immune antibody network; (2) the network is evolved with the learning from foreign antigens; (3) diagnosis process is accomplished by majority vote of the k nearest neighbor antibodies.
Keywords: Diabetes disease, artificial immune network, medical diagnosis
Protein & Peptide Letters
Title: An Artificial Immune Network Based Algorithm for Diabetes Diagnosis
Volume: 15 Issue: 5
Author(s): Lingxi Peng, Tao Li, Xiaojie Liu, Caiming Liu, Jinquan Zeng and Jian Zhang
Affiliation:
Keywords: Diabetes disease, artificial immune network, medical diagnosis
Abstract: A novel artificial immune network based algorithm for the diagnosis of diabetes is presented. The algorithms implementation includes: (1) creating the initial immune antibody network; (2) the network is evolved with the learning from foreign antigens; (3) diagnosis process is accomplished by majority vote of the k nearest neighbor antibodies.
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Cite this article as:
Peng Lingxi, Li Tao, Liu Xiaojie, Liu Caiming, Zeng Jinquan and Zhang Jian, An Artificial Immune Network Based Algorithm for Diabetes Diagnosis, Protein & Peptide Letters 2008; 15 (5) . https://dx.doi.org/10.2174/092986608784567591
DOI https://dx.doi.org/10.2174/092986608784567591 |
Print ISSN 0929-8665 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5305 |

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