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Data mining, a part of the Knowledge Discovery in Databases process (KDD), is the process of extracting patterns from large data sets by combining methods from statistics and artificial intelligence with database management. Analyses of biomedical data have evolved towards genome-wide and high-throughput approaches, thus generating great amounts of data for which data mining is essential. Therefore, a novel approach based on genetic programming with the aim of weighting the importance of the different variables contained in the data generated in the biomedical field is presented. This approach was applied to SNP data from Galician schizophrenia patients, showing the possibilities it offers.
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.: SABIA :. Sistemas Adaptativos y Bioinspirados en Inteligencia Artificial