Estimation of current risk of suffering from mellitus diabetes from routine medical parameters

Abstract

In Mexico, the highest percentage of people with Diabetes corresponds to women between 20 and 70 years old according to the National Institute of Statistics and Geography (INEGI) in 2018 [2]. Currently through technology it is important to provide material to reduce the percentage of Diabetes Mellitus (DM) in Mexico, therefore, in this work, an exploratory analysis of prediction of the current risk of having DM in women is addressed using regression in multilayer neural networks based on the parameters of the data set from the National Institute of Diabetes, Digestive and Kidney Diseases of women of indigenous heritage, which in other works are used to predict Diabetes for men and women, being that it is made up of data only from women. A mean square minimum error of 0.30 is obtained, therefore it is concluded that a low MD prediction error was reached.