Case-based reasoning
Active learning for microarray data
International Journal of Approximate Reasoning
Computational Biology and Chemistry
Efficient multi-class cancer diagnosis algorithm, using a global similarity pattern
Computational Statistics & Data Analysis
Expert Systems with Applications: An International Journal
Fuzzy ensemble clustering based on random projections for DNA microarray data analysis
Artificial Intelligence in Medicine
Case-based systems in health sciences: a case study in the field of stress
WSEAS TRANSACTIONS on SYSTEMS
Protecting web services against dos attacks: a case-based reasoning approach
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
Improving user experience with case-based reasoning systems using text mining and Web 2.0
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
International Journal of Hybrid Intelligent Systems
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Microarray technology can measure the expression levels of thousands of genes in an experiment. This fact makes the use of computational methods in cancer research absolutely essential. One of the possible applications is in the use of Artificial Intelligence techniques. Several of these techniques have been used to analyze expression arrays, but there is a growing need for new and effective solutions. This paper presents a Case-based reasoning (CBR) system for automatic classification of leukemia patients from microarray data. The system incorporates novel algorithms for data mining that allow filtering, classification, and knowledge extraction. The system has been tested and the results obtained are presented in this paper.