Diabetes Prediction Using Classification Methods

When the body organ pancreas are not capable enough of producing sufficient amount of insulin in the body, sugar level in the bloodstream increases. This results in serious health-related issues. The deregulation of glucose in the body gives rise to chronic disease denoted as Diabetes. Diabetes complications cause kidney problems, heart strokes, nerve issues, and so on and so forth. Getting an aid or a precaution at an early level can reduce the chance of Diabetes. This work on diabetes prediction can help in the improvement of human life style. Our motive is to predict the outcome whether or not the patient is suffering from diabetes on the basis of basic human features such as glucose level, blood pressure, insulin, BMI (body mass index), number of pregnancies, skin thickness, diabetes pedigree function, and age. To achieve our goal, we have used the famous Pima Indian type-2 Diabetes Mellitus Classification Dataset. In this paper, we did an analysis using 12 machine learning algorithms and compared the results with others.