GRUPO DE MODELIZACIÓN MATEMÁTICA APLICADA
MOMA
Instituto Universitario de Oncologia del Principado de Asturias
Oviedo, EspañaPublications in collaboration with researchers from Instituto Universitario de Oncologia del Principado de Asturias (10)
2021
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Hybrid algorithm for the classification of prostate cancer patients of the MCC-Spain study based on support vector machines and genetic algorithms
Neurocomputing, Vol. 452, pp. 386-394
2020
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Outcome prediction for salivary gland cancer using multivariate adaptative regression splines (MARS) and self-organizing maps (SOM)
Neural Computing and Applications, Vol. 32, Núm. 5, pp. 1219-1229
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The popularity of neurology in Spain: An analysis of specialty selection
Neurologia, Vol. 35, Núm. 8, pp. 543-550
2019
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A multivariate regression approach for identification of SNPs importance in prostate cancer
Journal of Experimental and Theoretical Artificial Intelligence, Vol. 31, Núm. 6, pp. 817-828
2018
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A methodology for the detection of relevant single nucleotide polymorphism in prostate cancer by means of multivariate adaptive regression splines and backpropagation artificial neural networks
Advances in Intelligent Systems and Computing
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A multiregressive approach for SNPs identification in prostate cancer
Advances in Intelligent Systems and Computing
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Choice of critical care medicine: Analysis of the last 10 years
Medicina Intensiva
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Classification of prostate cancer patients and healthy individuals by means of a hybrid algorithm combing SVM and evolutionary algorithms
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Outcome prediction for salivary gland cancer using Multivariate Adaptative Regression Splines (MARS) and Self-Organizing Maps (SOM)
Advances in Intelligent Systems and Computing
2017
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Endocrinology and nutrition: Evolution of the choice of specialty in the last years
Endocrinologia, Diabetes y Nutricion, Vol. 64, Núm. 6, pp. 329-331