An Assessment of Type-2 Diabetes Risk Prediction Using Machine Learning Techniques

Diabetes is a metabolic chronic disease that due to the lack of insulin makes a serious problem with the transfer of blood all over the body. Nowadays, this epidemic has been expanding steadily everywhere throughout the world. Furthermore, negligence can lead to visual deficiency, amputations, cardiovascular breakdown, heart failure, and stroke. Diabetes generally occurs in two types (diabetes Type-1, diabetes Type-2) through the body, diabetes Type-2 shows the acute condition in the patient's body. The present study reviews the existing research studies and their methods for predicting diabetes using machine learning techniques, these methods use previously stored patient information to predict the next steps or the next events. During this research that using machine learning methods in addition to high speed and accuracy in the prediction of diabetes, it can improve the efficiency and importance of this process.