Diabetes Prediction System Using Machine Learning Algorithm

Abstract: Machine learning is the scientific field dealing with the ways in which machines learn from experience. The purpose of machine learning is the construction of computer systems that can adapt and learn from their experience. With the rise of Machine Learning approaches we have the ability to find a solution to many issues. Furthermore, predicting the disease early leads to treating the patients before it becomes critical. The aim of this research is to develop a system which can predict the diabetic risk level of a patient with a higher accuracy. This research has focused on developing a system based on Logistic Regression. Various machine learning techniques, its application and research papers were studied and reviewed. Logistic Regression was applied in the medical data set and higher accuracy than previous techniques was achieved. Also, Logistic Regression provided more accuracy than numerous other algorithms