Constructing a model to determine the most important factors affecting diabetes disease

Abstract

Diabetes occurs as a result of the inability of the pancreatic gland to produce an adequate amount of insulin, or as a result of the body's inability to use the insulin it produces as required. For the purpose of presenting an explanatory study on blood sugar disease and determining the most important factors that affect the incidence of this disease, a mathematical model was built, which is a two-response logistic regression model when the correlation function is of type (logit, Normal, or Gompartz). Then, they were compared to determine the best model using Aic standard and R². It has been shown that the two-response logistic regression model with a correlation function (logit) is the best because it has the lowest Aic coefficient and the highest R². Likewise, it was found that the effect of the age variable x1 is more significant than the effect of the gender variable x2 on the incidence of diabetes, and that the risk is high between the response variable blood sugar (y) and the age variable (x1). While the risk is low between the response variable (y) and the gender variable (x2).