Predicting the Early Sign of Diabetes using ID3 as a Data Model

Abstract

We all know that diabetes is a very chronic disease that needs to be detected in the early stage so we can prevent this. Detecting it in the early stage can help us to treat it well and improve treatment. Also, data mining techniques had been used in doing this research to analyze the data and to predict the output. With this paper, the researchers managed to use the ID3 algorithm as a data model that will need those attributes, test datasets, and training datasets for us to predict if the patient is diabetic or not. The medical professional may benefit from this since the application can perform a bundle of tests for multiple patients for easily identifying if the patient is diabetic or not. If the patient is diabetic, it can treat in the early stage.