استخدام التحليل التمييزي في التصنيف والتنبؤ: دراسة تطبيقية

Abstract EN

The research aims to determine the factors that affect the incidence of diabetes and establish discriminant function that separates people from with and without disease groups.

this is done through a set of factors, genetics, weight, blood pressure, age, gender, smoking and exercise, gout and cholesterol, social status, and heart and kidney disease.

after checking the fit of the discriminant analysis to the data and creating the discriminant function for separating and distinguish, it was concluded that the most important factors affecting the incidence of diabetes are weight, age, blood pressure, smoking, exercise, genetics, cholesterol and gender the remaining variables were excluded because they were not significant.

the variables that contribute most to segregation are weight (79.4%), blood pressure (33.2%), genetic (31%), age (28.9%) cholesterol (24.2%), smoking (20.8%), exercise (19.8%) and gender (10%) it also shows that the discriminative function is (90.6%) efficient, and attributed if wrong (9.4%), sensitivity (92.9%), qualitative (88.1%).