Normalización de entradas de una red de Kohonen para clasificación de síndrome metabólico en adultos mayores de la ciudad de Cuenca

Authors

Keywords:

neuronal networks, Kohonen, metabolic syndrome, pre-processing, SOM

Abstract

One of the challenges in using Kohonen self-Organizing maps (SOM) is the pre-processing or normalization of input variables. In the present work two pre-processing techniques (binary and by ranges) of the variables to diagnose Metabolic Syndrome (MS) in older adults of the urban districts of Cuenca are explored. Three experiments were carried out considering the entire population (N=387) and dividing the population by sex; in each experiment 3 clusters were defined. The results, using pre-processing by ranges allow a better classification of the population in all cases. This study allowed us to select the type of pre-processing for the diagnosis of MS in the elderly population of the city of Cuenca using SOM.

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References

Chimbo, J., Chuchuca, A., Encalada, L., Wong, S. (2016). Nivel de actividad física medida a través del Cuestionario Internacional de Actividad Física, en Adultos Mayores de las parroquias urbanas de Cuenca-Ecuador, 2015 Presentado en el Congreso en Investigación de la Salud: Enfoques, avances y desafíos. Universidad de Cuenca. Junio de 2016. Revista de la Facultad de Ciencias Médicas, 34(2), 51-56.

Grundy, S. M., Cleeman, J. I., Daniels, S. R., Donato, K. A., Eckel, R. H., Franklin, B. A., … Costa, F. (2005). Diagnosis and Management of the Metabolic Syndrome. Circulation, 112(17), 2735-2752. https://doi.org/10.1161/CIRCULATIONAHA.105.169404

Isasi, P., Galván, I. (2004). Redes neuronales artificales: un enfoque práctico. Madrid, Spain: Pearson Prentice Hall.

Klein, B. E. K., Klein, R., Lee, K. E. (2002). Components of the metabolic syndrome and risk of cardiovascular disease and diabetes in Beaver Dam. Diabetes Care, 25(10), 1790–1794.

Kohonen, T., Honkela, T. (2007). Kohonen network. Scholarpedia, 2(1), 1568. https://doi.org/10.4249/scholarpedia.1568

Montaño-Moreno, J. (2002). Redes neuronales artificiales aplicadas al análisis de datos (Ph.D. Thesis). Universitat de les Illes Balears. Retrieved from http://www.tdx.cat/handle/10803/9441

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Published

2017-12-30

How to Cite

Vintimilla, C., Astudillo, F., Severeyn, E., Encalada, L., & Wong, S. (2017). Normalización de entradas de una red de Kohonen para clasificación de síndrome metabólico en adultos mayores de la ciudad de Cuenca. Maskana, 8(1), 379–384. Retrieved from https://publicaciones.ucuenca.edu.ec/ojs/index.php/maskana/article/view/1997

Issue

Vol. 8 (2017): PROCEEDINGS: R+D+Engineering

Section

Second Congress of Signal Processing, Communications and Pattern Recognition

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