Diabetes is an ineradicable disease that can be found in most of the people nowadays. Due to hectic schedules people are unable to focus on their health. The food we are consuming is fragmented into glucose; these fragments will be delivered into blood. The pancreas releases a hormone named as insulin when the glucose levels are high. This insulin plays a vital role in transporting the glucose to cells that can be used as energy. To maintain a sustainable life detection of diabetes in early stage will be beneficial. Machine learning algorithms will be a productive approach as it will be trained & test with vast data and it enhances itself with upcoming future predictions. In this article, various algorithms like Random Forest, Naive Bayes are used, Decision Tree and trained with our collected dataset. Among these three algorithms it was observed that Random Forest produced accurate results.
₹10000 (INR)
NON IEEE -2022