کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
385507 | 660867 | 2007 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Diagnosis of atherosclerosis from carotid artery Doppler signals as a real-world medical application of artificial immune systems
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Diagnosis of atherosclerosis from carotid artery Doppler signals as a real-world medical application of artificial immune systems Diagnosis of atherosclerosis from carotid artery Doppler signals as a real-world medical application of artificial immune systems](/preview/png/385507.png)
چکیده انگلیسی
In 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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 33, Issue 3, October 2007, Pages 786–793
Journal: Expert Systems with Applications - Volume 33, Issue 3, October 2007, Pages 786–793
نویسندگان
Fatma Latifoglu, Seral Şahan, Sadık Kara, Salih Güneş,