Name
Title | ||
|---|---|---|
Medical diagnosis of atherosclerosis from Carotid Artery Doppler Signals using principal component analysis (PCA), k-NN based weighting pre-processing and Artificial Immune Recognition System (AIRS). |
Abstract | ||
|---|---|---|
In this study, we proposed a new medical diagnosis system based on principal component analysis (PCA), k-NN based weighting pre-processing, and Artificial Immune Recognition System (AIRS) for diagnosis of atherosclerosis from Carotid Artery Doppler Signals. The suggested system consists of four stages. First, in the feature extraction stage, we have obtained the features related with atherosclerosis disease using Fast Fourier Transformation (FFT) modeling and by calculating of maximum frequency envelope of sonograms. Second, in the dimensionality reduction stage, the 61 features of atherosclerosis disease have been reduced to 4 features using PCA. Third, in the pre-processing stage, we have weighted these 4 features using different values of k in a new weighting scheme based on k-NN based weighting pre-processing. Finally, in the classification stage, AIRS classifier has been used to classify subjects as healthy or having atherosclerosis. Hundred percent of classification accuracy has been obtained by the proposed system using 10-fold cross validation. This success shows that the proposed system is a robust and effective system in diagnosis of atherosclerosis disease. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1016/j.jbi.2007.04.001 | Journal of Biomedical Informatics |
Keywords | Field | DocType |
dimensionality reduction stage,atherosclerosis,new medical diagnosis system,airs,feature extraction stage,suggested system,atherosclerosis disease,effective system,fast fourier transformation,carotid artery doppler,pca,pre-processing stage,classification stage,weighting pre-processing,proposed system,welch,principal component analysis,artificial immune recognition system,carotid artery,k -nn based weighting pre-processing,feature extraction,cross validation,fast fourier transform,medical diagnosis | Weighting,Dimensionality reduction,Pattern recognition,Computer science,Feature extraction,Speech recognition,Fast Fourier transform,Artificial intelligence,Classifier (linguistics),Cross-validation,Principal component analysis,Medical diagnosis | Journal |
Volume | Issue | ISSN |
41 | 1 | 1532-0480 |
Citations | PageRank | References |
24 | 1.55 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fatma Latifoğlu | 1 | 66 | 5.24 |
| Kemal Polat | 2 | 1348 | 97.38 |
| Sadik Kara | 3 | 275 | 27.39 |
| Salih Güneş | 4 | 1267 | 78.53 |