Work-in-Progress: The Use of Big Data and Data Analytics in the Prevention, the Diagnosis and the Monitoring of Long-Term Diseases

Diabetes is a group of metabolic diseases in which a person has high blood sugar, either because the body does not produce enough insulin, or because cells do not respond to the insulin that is produced. The constant hyperglycemia of diabetes is related to long-haul harm, brokenness, and failure of various organs, particularly the eyes, kidneys, nerves, heart, and veins. This last can be monitoring by doctors over the internet and especially social networks. In this context, having a healthcare social media strategy is no longer optional, it's a requirement. With the right strategy, social media will become a powerful tool to build trust, reach more patients, and spread valuable medical information. Furthermore, advances in mobile technology and the widespread use of smartphones and tablets will make an improvement in healthcare services at a rapid pace. In this paper, we propose a system that supports a community of diabetes people, their families and friends, doctors, nutritionist and anyone who might need or offer help and support to the community. Our objective is to develop a system that can predict, diagnose and monitor the diabetes or support diabetes self- management using machine learning algorithms and Big Data.