کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
505749 | 864534 | 2008 | 10 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: An expert system based on principal component analysis, artificial immune system and fuzzy kk-NN for diagnosis of valvular heart diseases An expert system based on principal component analysis, artificial immune system and fuzzy kk-NN for diagnosis of valvular heart diseases](/preview/png/505749.png)
In the last two decades, the use of artificial intelligence methods in medical analysis is increasing. This is mainly because the effectiveness of classification and detection systems have improved a great deal to help the medical experts in diagnosing. In this work, we investigate the use of principal component analysis (PCA), artificial immune system (AIS) and fuzzy kk-NN to determine the normal and abnormal heart valves from the Doppler heart sounds. The proposed heart valve disorder detection system is composed of three stages. The first stage is the pre-processing stage. Filtering, normalization and white de-noising are the processes that were used in this stage. The feature extraction is the second stage. During feature extraction stage, wavelet packet decomposition was used. As a next step, wavelet entropy was considered as features. For reducing the complexity of the system, PCA was used for feature reduction. In the classification stage, AIS and fuzzy kk-NN were used. To evaluate the performance of the proposed methodology, a comparative study is realized by using a data set containing 215 samples. The validation of the proposed method is measured by using the sensitivity and specificity parameters; 95.9% sensitivity and 96% specificity rate was obtained.
Journal: Computers in Biology and Medicine - Volume 38, Issue 3, March 2008, Pages 329–338