Diabetes Prediction using Artificial Intelligence and Machine Learning

Abstract

Diabetes is a fatal disease and its developments must be monitored continuously. If one is affected with this disease, it may stay throughout one’s life, depending upon the stage and severity. Furthermore, having too much glucose in the blood can cause health issues including kidney disease, heart disease, stroke, eye problems, dental disease, foot problems, nerve damage. So, one must take steps to avoid these complications and oversee one’s diabetes. The most common type of diabetes is type 1 and type 2. In this type of diabetes, the patient faces problems like the body is not able to produce or use insulin. In other kinds of diabetes, like gestational diabetes, which crop up during pregnancy. Gestational diabetes causes high blood sugar that can affect pregnant women’s and baby’s health. For diagnoses and administration of diabetes various Machine Learning and Data Mining methods are used. This study focuses on new developments in machine learning which have made significant impacts in the detection and diagnosis of diabetes. In this study, the machine learning algorithms are used to classify diabetes patients.