A Review on Diabetes Prediction Using Machine Learning Techniques

Diabetes is a chronic disease that affects a large number of people worldwide. If you have this illness even once, you will have it for the rest of your life. According to the World Health Organization (WHO), it is one of the top ten deadliest illnesses in the world. Having an excess of glucose in the blood can harm health and cause heart disease, kidney disease, nerve problems, and many other high-risk problems. However, diabetes can be a serious condition if not handled properly. Many of these issues can be prevented with effective management and regular checkups. Machine learning and data mining techniques have emerged as powerful tools for diabetes prediction, leveraging the analysis of large-scale datasets to identify patterns and risk factors. The goal of this study is to analyze different existing research and find a more efficient model in this field.