5G Smart diabetes towards personalized diabetes diagnosis with Big Data Clouds in healthcare

Recent developments in wireless networks and big data technologies, such as 5G networks, medical big data analytics and the Internet of Things, together with recent developments in wearable computing and artificial intelligence, enable the development and implementation of innovative diabetes monitoring systems and applications possible. . Due to the lifelong and systematic damage that diabetes patients suffer, it is critical to design effective methods for the diagnosis and treatment of diabetes. Based on our extensive research, this article classifies these methods into Diabetes 1.0 and Diabetes 2.0, which have shortcomings in networking and intelligence. So our goal is to design a sustainable, cost-effective and intelligent diabetes diagnosis solution with personalized treatment. In this article, we first introduce the 5G Smart Diabetes System, which combines state-of-the-art technologies such as wearable 2.0, machine learning and big data to generate comprehensive detection and analysis for patients suffering from diabetes. Then, we present the data sharing mechanism and personalized data analysis model for 5G-Smart Diabetes. Finally, we are building a 5G Smart Diabetes testbed that includes smart clothing, smartphones and big data clouds. The experimental results show that our system can effectively provide patients with personalized diagnoses and treatment suggestions.
Published in: IEEE Communications Magaz

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