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Swarm Intelligence Approach for Breast Cancer Diagnosis
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 151 - Number 1 |
| Year of Publication: 2016 |
| Authors: Hoda Zamani, Mohammad-Hossein Nadimi-Shahraki |
10.5120/ijca2016911667
|
Hoda Zamani, Mohammad-Hossein Nadimi-Shahraki . Swarm Intelligence Approach for Breast Cancer Diagnosis. International Journal of Computer Applications. 151, 1 ( Oct 2016), 40-44. DOI=10.5120/ijca2016911667
Abstract
Since the breast cancer has been become one of the main reasons of death in women especially in the developed countries, there have been done many research for breast cancer diagnosis. Although researchers have recently proposed many methods by using intelligent approaches for diseases diagnosis, a few of them fulfill the need of high accuracy. In this paper, the most popular swarm intelligence algorithms PSO, ICA, FA and IWO are applied to diagnosis the breast cancer. The experimental results show that swarm intelligence approach can be applied for breast cancer diagnosis with high accuracy. Moreover, FA can diagnose the breast cancer more accurate than other swarm intelligence methods compared in this paper.
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