| Popis: |
Diabetes has been the primary cause of disability and mortality on a global scale. It is crucial to take action to reduce the rising incidence of diabetes. The treatment and control of diabetes are aided by early diagnosis of diabetics and pre-diabetics. A deeper comprehension of the diabetes risk factors is necessary to perform the early screening of diabetics more effectively. In order to determine the type 2 diabetes risk variables and forecast the likelihood that Pima Indian women will develop the disease, logistic regression is utilized in this essay. Pregnancy, glucose, diabetes pedigree function and body mass index(BMI) are four variables in the model that have been identified to be significant predictors. All relevant predictors had positive relationships with the result, according to the analysis. The cross-validated test error rate for the model is 15.74%, and its accuracy is 76.28%. In conclusion, it is suggested that it is conceivable to forecast type 2 diabetes using the data currently available, and the model found suggests that lowering the rate of pregnancies, blood glucose levels, and body mass index may be a way to minimize the prevalence of diabetes. |
