Latifoglu, FatmaSahan, SeralKara, SadikGunes, Salih2020-03-262020-03-2620070957-41741873-6793https://dx.doi.org/10.1016/j.eswa.2006.05.034https://hdl.handle.net/20.500.12395/21317In this study, we have employed the maximum envelope of the carotid artery Doppler sonograms derived from Fast Fourier Transformation-Welch Method and artificial immune systems in order to distinguish between atherosclerosis and healthy subjects. In this classification problem, the used artificial immune system has reached to 99.33% classification accuracy using 10-fold Cross Validation (CV) method with only two system units which reduced classification time considerably. This success shows that whereas artificial immune systems is a new research area, one can utilize from this new field to reach high performance for his problem. (c) 2006 Elsevier Ltd. All rights reserved.en10.1016/j.eswa.2006.05.034info:eu-repo/semantics/closedAccessatherosclerosiscarotid arteryfast Fourier transformationWelchartificial immune systemsArticle333786793Q1WOS:000245754400025Q1