ABSTRACT
Diabetes is the most common disease experienced recently. Type 1 diabetes, Type 2 diabetes, and gestational diabetes are the most common types of diabetes. The aim of this chapter is to predict the Type 2 diabetes with various parameters. “Diabetes risk score or test system” is designed with the various risk factors such as age, waist circumference, physical activity, family history, and body mass index using an artificial intelligence technique. This chapter also aims to design a universally acceptable diabetes prediction system that predicts the possibility of diabetes risk. This process is carried out using various parameters of the patient’s life style and without using the data from medical test results. The individuals who are interested to know about their risk score can use this diabetes risk score system.
