DIABETES PREDICTION USING MACHINE LEARNING

Abstract

Diabetes is a fatal chronic illness that adversely affects every system in the body. This disease affects many people, and its adverse effects cause a sizable number of sufferers to pass away each year. High blood glucose levels are a concern for diabetic patients. It is quite challenging to make a robust and accurate prediction of diabetes due to the tiny amount of labeled data and outliers (or incomplete data) in the datasets for diabetes. We are putting up a reliable framework for diabetes prediction in this literature. Untreated diabetes may result in hearing loss, renal damage, heart and blood vessel disease, poor wound healing, and a few skin problems. For the classification, early diagnosis, and prediction of diabetes, a machine learning (ML)-based strategy has been put forth.