The nature of statistical learning theory
The nature of statistical learning theory
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Expert Systems with Applications: An International Journal
Computers in Biology and Medicine
Application areas of AIS: The past, the present and the future
Applied Soft Computing
Theoretical advances in artificial immune systems
Theoretical Computer Science
An evolutionary artificial neural networks approach for breast cancer diagnosis
Artificial Intelligence in Medicine
Neural-network feature selector
IEEE Transactions on Neural Networks
A comparison of methods for multiclass support vector machines
IEEE Transactions on Neural Networks
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The purpose of this paper is to develop an efficient approach to improve medical diagnosis performance of breast cancer. First, the medical dataset of breast cancer is selected from UCI Machine Learning Repository. After that, the standardization and normalization of datasets are pre-processing procedure. Secondly, the proposed approach combines support vector machine with artificial immune system as the medical diagnosis classifier. The results of diagnosis are identified and the rates of classification accuracy are evaluated. A simple artificial immune algorithm with various affinity criteria is investigated for comparison. Furthermore, the grid-search with 10-fold cross-validation is applied to choose two parameters of C and γ for AIS-based machine learning classifier. Through grid-search technique, the proposed classifier could yield the best results.