Artificial Intelligence for Diabetes Management and Decision Support
Abstract
Diabetes is a metabolic disease where any person would cause a widely more level of blood glucose in the body, it not depend on any age, it occurs to any group of people are in fact that the body's telephones will not respond correctly to insulin. It will lead to affect and hurt the total organs and functions of organs such as eyes, kidneys, nerves, heart, and veins. It will decrease the calcium levels in bones and broke will not heal properly. The main work we are going to do is to implement new procedures, implement new process using Machine learning and provide a proper and closest outcome of lab reports from old reports of different lab reports of a person result. The work we are going to do in this is finding and focus on qualities that we can get off diabetes using this framework. The output will be identified using data structured area of decision tree has the most unlikely values of 97.20% and 99.00%, it had stood for the better identification of diabetic data. Some result says that for knowing the best value or accuracy will be off 82.30%. The identification also says that the dataset plays a main role to get the portrayal precision.