Prevention of obesity using Hopfield networks in patients with obese ancestry.
Keywords:Obesity, Cardiovascular Diseases
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.