@article{Cruz Nájera_Laria Mechaca_Ibarra Martínez_Terán Villanueva_Martínez Vega_2020, title={Prevention of obesity using Hopfield networks in patients with obese ancestry.}, volume={11}, url={https://ijcopi.org/ojs/article/view/144}, abstractNote={<p><strong>Abstract.</strong> 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.</p>}, number={2}, journal={International Journal of Combinatorial Optimization Problems and Informatics}, author={Cruz Nájera, Mariel Abigail and Laria Mechaca, Julio and Ibarra Martínez, Salvador and Terán Villanueva, Jesús David and Martínez Vega, Daniel Adalberto}, year={2020}, month={Jan.}, pages={61–66} }