A Review on Diabetes Prediction Using Machine Learning Algorithms

Abstract

ABSTRACT
Data mining (DM) is a way of dealing with substantial information sets to recognize patterns and setup associations to resolve issues through data investigation. Diabetes is a chronic disease or group of metabolisms in which a person suffers from a prolonged blood glucose level in the body that is not sufficient for either production of insulin or because cells of the body are not adequate for insulin. Diabetes’ constant hyperglycemia is linked to long-distance harm, breakage as well as a failure of different organs, especially eyes, kidneys, nerves and heart. Diabetes diagnosis at an early stage is difficult in real-world medical issues. This paper has examined different data mining parameters for a diabetes diagnosis. We have also been studying data mining classification algorithms that also play a vital role in the DM process. Further study can be extended to include some other machine-learning algorithms for the automation of diabetes analysis.

Keywords: Diabetes, diabetes prediction, machine learning, data mining