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A study on the parallelization of moeas to pbkp_redict the patient’s response to the onabotulinumtoxina treatment
Conference ObjectAbstract: This work deals with the decrease of the computational cost in the task of feature weighting for thePalabras claves:Feature weighting, Migraine, MOEA, Parallelism, Pareto FrontAutores:Ayala J.L., Del Barrio García A.A., Franklin Ricardo Parrales BravoFuentes:scopusSMURF: Systematic Methodology for Unveiling Relevant Factors in Retrospective Data on Chronic Disease Treatments
ArticleAbstract: Deciding on the continuous treatment of chronic diseases is vital in terms of economy, quality of liPalabras claves:classification algorithms, Data Mining, Multi-target pbkp_rediction, Simulated AnnealingAutores:Ayala J.L., Del Barrio García A.A., Dzeroski S., Franklin Ricardo Parrales Bravo, Gago Veiga A.B., Gallego De La Sacristana M.M., Peral A.G., Piñero M.R.Fuentes:scopusPbkp_rediction of patient's response to OnabotulinumtoxinA treatment for migraine
ArticleAbstract: Migraine affects the daily life of millions of people around the world. The most well-known disablinPalabras claves:bioinformatics, Computer science, Medicine, neurologyAutores:Ayala J.L., Del Barrio García A.A., Franklin Ricardo Parrales Bravo, Gago Veiga A.B., Gallego M.M., Guerrero Peral Á.L., Ruiz M.Fuentes:scopusSofia: Selection of medical features by induced alterations in numeric labels
ArticleAbstract: This work deals with the improvement of multi-target pbkp_rediction models through a proposed optimiPalabras claves:feature selection, Feature weighting, GPU, multi-objective optimization, Multi-target classificationAutores:Ayala J.L., Del Barrio García A.A., Franklin Ricardo Parrales Bravo, Russo L.M.S.Fuentes:scopus