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Identification of predictive factors of the degree of adherence to the Mediterranean diet through machine-learning techniques 

Arceo-Vilas​, Alba; Fernández-Lozano, Carlos; Pita​, Salvador; Pértega-Díaz, Sonia; Pazos, A. (PeerJ, Ltd., 2020-07-27)
[Abstract] Food consumption patterns have undergone changes that in recent years have resulted in serious health problems. Studies based on the evaluation of the nutritional status have determined that the adoption of a ...
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Texture Analysis in Gel Electrophoresis Images Using an Integrative Kernel-Based Approach 

Fernández-Lozano, Carlos; Seoane, José A.; Gestal, M.; Gaunt, Tom R.; Dorado, Julián; Pazos, A.; Campbell, Colin (Nature, 2016-01-13)
[Abstract] Texture information could be used in proteomics to improve the quality of the image analysis of proteins separated on a gel. In order to evaluate the best technique to identify relevant textures, we use several ...
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Applied Computational Techniques on Schizophrenia Using Genetic Mutations 

Aguiar-Pulido, Vanessa; Gestal, M.; Fernández-Lozano, Carlos; Rivero, Daniel; Munteanu, Cristian-Robert (Bentham, 2013-03-01)
[Abstract] Schizophrenia is a complex disease, with both genetic and environmental influence. Machine learning techniques can be used to associate different genetic variations at different genes with a (schizophrenic or ...

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AuthorFernández-Lozano, Carlos (3)Gestal, M. (2)Pazos, A. (2)Aguiar-Pulido, Vanessa (1)Arceo-Vilas​, Alba (1)Campbell, Colin (1)Dorado, Julián (1)Gaunt, Tom R. (1)Munteanu, Cristian-Robert (1)Pita​, Salvador (1)... View MoreSubject
Data mining (3)
Machine learning (3)
Bioinformatics (2)Support vector machines (2)Artificial Intelligence (1)Feature selection (1)Image processing (1)Mediterranean diet (1)Neural networks (1)Nutrition disorders (1)... View MoreDate Issued2020 (1)2016 (1)2013 (1)
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