Methodologies from machine learning in data analysis and software
The Computer Journal - Special issue on distributed systems
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Knowledge Discovery in Databases
Knowledge Discovery in Databases
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
Inspiration for the next generation of artificial immune systems
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
Designing ensembles of fuzzy classification systems: an immune-inspired approach
ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
Use of kernel functions in artificial immune systems for the nonlinear classification problems
IEEE Transactions on Information Technology in Biomedicine - Special section on biomedical informatics
Hybrid intelligent techniques for MRI brain images classification
Digital Signal Processing
Dimension reduction by a novel unified scheme using divergence analysis and genetic search
Digital Signal Processing
Expert Systems with Applications: An International Journal
Sleep spindles recognition system based on time and frequency domain features
Expert Systems with Applications: An International Journal
Instance-based classifiers applied to medical databases: Diagnosis and knowledge extraction
Artificial Intelligence in Medicine
Is standard multivariate analysis sufficient in clinical and epidemiological studies?
Journal of Biomedical Informatics
Classification of tuberculosis digital images using hybrid evolutionary extreme learning machines
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part I
A hybrid expert system approach for telemonitoring of vocal fold pathology
Applied Soft Computing
Computer Methods and Programs in Biomedicine
A biological continuum based approach for efficient clinical classification
Journal of Biomedical Informatics
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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.