Nutritional Genomics studies diet-gene-disease interactions and aims to promote health and disease prevention. It is based on the idea that everything ingested into a person’s body affects the genome of the individual and, therefore, both genes and nutrients modify the same metabolic processes. This paper presents an application of clustering and interpretation over real heterogeneous data coming from a nutritional study. The individuals are clustered by their diet and physical activity
habits and the resulting clustering is interpreted. This work is part of a
methodology to deal with data from dietary intervention studies.
CitationSevilla-Villanueva, B.; Gibert, Karina; Sanchez, M. Clustering and interpretation on real nutritional data. A: Conferencia de la Asociación Española para la Inteligencia Artificial. "Multiconferencia CAEPIA'13 : Madrid 17-20 sept 2013". Madrid: 2013, p. 1454-1463.
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder. If you wish to make any use of the work not provided for in the law, please contact: firstname.lastname@example.org