A Study of Machine Learning Techniques for Diabetes Prediction

Kidney failure, heart failure, blindness, and stroke are all common complications of diabetes. When we consume, our bodies transform food into sugar or glucose. Our pancreas is meant to release insulin at that point. Insulin is a key that allows glucose to enter and be utilized for energy in our cells. The two most common types of diabetes are Type 1 and Type 2. If diabetes is detected early enough, it can be controlled. Using effective and dependable machine learning approaches to discover trends and anticipate the onset of diabetes in humans would aid in the earlier detection and treatment of the illness. Smoking, diet, stress, sleeping time, exercise, and other factors can help us to determine whether a person is prediabetic or diabetic. This study focuses on recent advances in machine learning that have a significant impact on diabetes detection and diagnosis.