Diabetes Management System using Machine Learning

In today's scenario, people are so busy with their life, this result in increased stress level, unbalanced diet, irregular sleep patterns and it keeps them away from physical activities too, this may lead to obesity, it increases levels of fatty acids, leadingto insulin resistance, which can turn into type 2 diabetes. Today's existing system is providing diabetes management in some way, but they are not concrete enough, although there is a lack of connectivity between doctors and patients. Today's need is a system that can connect patients and doctors so that patients can live care freely. Furthermore, the system should show patients' current health state along with helpful suggestions, to maintain a safe state. This is now becoming possible, we are introducing a system called DiaM for diabetes management. The proposed system is based on Machine learning and mobile technology, for describing one's health state and providing them suggestions. The proposed methodology uses Artificial Neural Network to state patient health state, and android is used as mobile technology to connect doctors and patientsover a single platform. Proposed system act as an assistant for doctors to manage patients and provides mentoring for patients too.