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- Title
Prevention of obesity using Hopfield networks in patients with obese ancestry.
- Authors
Cruz-Nájera, Mariel A.; Laria-Menchaca, Julio; Ibarra-Martínez, Salvador; David Terán-Villanueva, Jesús; Martínez-Vega, Daniel A.
- Abstract
This paper proposes a risk study to suffer from obesity based on genetics and caloric intake. Using the calculation of the amount of glucose ingested and Hopfield networks to detect patterns of kinship between a control group and their relatives with obesity or bad eating habits. Of the volunteers who are at risk of triggering obesity, 43% have good nutrition and obese parents, another 43% have a poor diet with obese parents, those volunteers who have poor nutrition and do not have overweight parents, have a 10% risk of obesity, those who do not have obese parents and have poor nutrition, their risk percentage is 4%. It was possible to detect the predominance of genetics in obesity and the advantages of the use of computer techniques in the support for the timely detection of obesity.
- Publication
International Journal of Combinatorial Optimization Problems & Informatics, 2020, Vol 11, Issue 2, p61
- ISSN
2007-1558
- Publication type
Academic Journal