A SUCCESSFUL DIAGNOSIS OF DIABETES IN HEALTHCARE BIG DATA CLOUDS USING 5G SMART DIABETES

Abstract

Innovative diabetes monitoring systems and applications are being developed and put into use thanks to recent advancements in wearable computing, artificial intelligence, and wireless networking and big data technologies like 5G networks, medical big data analytics, and the Internet of Things. It is crucial to develop efficient techniques for the diagnosis and treatment of diabetes because of the chronic and systemic harm that diabetics experience. This paper categorizes those approaches into Diabetes 1.0 and Diabetes 2.0, which show shortcomings in terms of networking and intelligence, based on our thorough examination. Our objective is to create a diabetes diagnosis and treatment system that is intelligent, economical, and sustainable.