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.