GRUPO DE MODELIZACIÓN MATEMÁTICA APLICADA
MOMA
Instituto Universitario de Oncologia del Principado de Asturias
Oviedo, EspañaPublicaciones en colaboración con investigadores/as de 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