Prediction of Diabetes Using Machine Learning Classifiers

Abstract

Diabetes is a long-term condition that affect our body's ability to convert food into energy. It is a condition in which the blood glucose level is high. Insulin is a hormone which help glucose to move to cell and produce energy. In the body of diabetes patient this procedure does not work properly. Diabetes causes a plethora of problems in our body. Our kidneys, eyes, heart, and other organs are all affected. However, with the advancement of data mining and machine learning technology, a solution to this problem has been discovered. This paper details our research into using machine learning classifiers to predict diabetes in women at an early stage. When it comes to accuracy, the Gradient Boosting algorithm is at the top of the list. It has 88.74 percent accuracy rate, which is significantly higher than the other algorithms. Pregnancies, glucose, blood pressure, BMI, insulin, age, and other common factors linked to chronic disease are being investigated in this study.