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 manage...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.展开更多
With the rapid development of information science and technology and the progress of the health service industry,the integration of medical services and new technologies such as big data technology has become more in-...With the rapid development of information science and technology and the progress of the health service industry,the integration of medical services and new technologies such as big data technology has become more in-depth,and the construction of smart hospitals and smart wards has received more and more attention and application.This article conducts in-depth research and analysis on the application and exploration of big data technology in smart wards and explores the role of big data technology in improving the quality,efficiency,and cost of medical services in smart wards,as well as the application prospects and challenges of big data technology in patient monitoring,disease prevention,and diagnosis and treatment processes in smart wards.The focus is on analyzing and studying the use of big data technology to assist in the construction of smart neonatal surgery wards.This article aims to provide useful references and lessons for the construction and development of smart wards.展开更多
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)+4 种基金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).
文摘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.
文摘With the rapid development of information science and technology and the progress of the health service industry,the integration of medical services and new technologies such as big data technology has become more in-depth,and the construction of smart hospitals and smart wards has received more and more attention and application.This article conducts in-depth research and analysis on the application and exploration of big data technology in smart wards and explores the role of big data technology in improving the quality,efficiency,and cost of medical services in smart wards,as well as the application prospects and challenges of big data technology in patient monitoring,disease prevention,and diagnosis and treatment processes in smart wards.The focus is on analyzing and studying the use of big data technology to assist in the construction of smart neonatal surgery wards.This article aims to provide useful references and lessons for the construction and development of smart wards.
