Abstract

Diabetes is one of the highest causes of death in the world. Diabetes is caused when the blood glucose level is too high in the body. Gradually, high blood glucose leads to heart disease, stroke, eye and foot problems. To prevent the dreadful effects among people, early detection is required that would lead to proper medical treatment and change in lifestyle. Therefore, with the rise of machine learning we can predict if a patient has diabetes or not. Furthermore, we will integrate the trained model to a web application that will connect the model to generate predictions in real-time considering factors responsible for diabetes like body mass index (BMI), age, insulin, etc. In this paper, we are using the Pima Indian dataset that is originally from the National Institute of Diabetes, Digestive and Kidney Diseases for diabetes prediction model design using machine learning.