An artificial intelligence diabetes management architecture based on 5G  

作　　者：Ruochen Huang Wei Feng Shan Lu Tao shan Changwei Zhang Yun Liu 

机构地区：[1]Department of Geriatrics,The First Affiliated Hospital of Nanjing Medical University,Nanjing,210096,China [2]Department of Information,The First Afliated Hospital of Nanjing Medical University,Nanjing,210096,China [3]Department of Medical Informatics,School of Biomedical Engineering and Informatics,Nanjing Medical University,Nanjing,211166,China [4]Department of Outpatient,The First Affiliated Hospital of Nanjing Medical University,Nanjing,210096,China [5]Jiangsu Key Laboratory of Wireless Communications,Nanjing University of Posts and Telecommunications,Nanjing,210003,China

出　　处：《Digital Communications and Networks》2024年第1期75-82,共8页数字通信与网络（英文版）

基　　金：supported by grants from the industry prospecting and common key technology key projects of Jiangsu Province Science and Technology Department(Grant no.BE2020721);the Special guidance funds for service industry of Jiangsu Province Development and Reform Commission(Grant no.(2019)1089);the big data industry development pilot demonstration project of Ministry of Industry and Information Technology of China(Grant no.(2019)243,(2020)84);the Industrial and Information Industry Transformation and Upgrading Guiding Fund of Jiangsu Economy and Information Technology Commission(Grant no.(2018)0419);the Research Project of Jiangsu Province Sciences(Grant no.2019-2020ZZWKT15);the found of Jiangsu Engineering Research Center of Jiangsu Province Development and Reform Commission(Grant no.(2020)1460);the found of Jiangsu Digital Future Integration Innovation Center(Grant no.(2018)498).

摘　　要：Along with the development of 5G network and Internet of Things technologies,there has been an explosion in personalized healthcare systems.When the 5G and Artificial Intelligence(Al)is introduced into diabetes management architecture,it can increase the efficiency of existing systems and complications of diabetes can be handled more effectively by taking advantage of 5G.In this article,we propose a 5G-based Artificial Intelligence Diabetes Management architecture(AIDM),which can help physicians and patients to manage both acute complications and chronic complications.The AIDM contains five layers:the sensing layer,the transmission layer,the storage layer,the computing layer,and the application layer.We build a test bed for the transmission and application layers.Specifically,we apply a delay-aware RA optimization based on a double-queue model to improve access efficiency in smart hospital wards in the transmission layer.In application layer,we build a prediction model using a deep forest algorithm.Results on real-world data show that our AIDM can enhance the efficiency of diabetes management and improve the screening rate of diabetes as well.

关 键 词：DIABETES 5G Artificial intelligence Deep forest Smart hospital ward 

分 类 号：TN929.5[电子电信—通信与信息系统] TP18[电子电信—信息与通信工程]