TY - JOUR AU - Cruz Nájera, Mariel Abigail AU - Laria Mechaca, Julio AU - Ibarra Martínez, Salvador AU - Terán Villanueva, Jesús David AU - Martínez Vega, Daniel Adalberto PY - 2020/01/02 Y2 - 2024/03/28 TI - Prevention of obesity using Hopfield networks in patients with obese ancestry. JF - International Journal of Combinatorial Optimization Problems and Informatics JA - Int. Journal of COP and Infor. VL - 11 IS - 2 SE - Articles DO - UR - https://ijcopi.org/ojs/article/view/144 SP - 61-66 AB - <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> ER -