A Study on Service-Oriented Smart Medical Systems Combined with Key Algorithms in the IoT Environment  

作　　者：Shan Lu Anzhi Wang Shenqi Jing Tao Shan Xin Zhang Yongan Guo Yun Liu 

机构地区：[1]Department of Geriatrics,the First Affiliated Hospital of Nanjing Medical University,Nanjing 210029,China [2]Department of Health Education,the First Affiliated Hospital of Nanjing Medical University,Nanjing 210029,China [3]Engineering Research Center of Health Service System Based on Ubiquitous Wireless Networks,Ministry of Education,Nanjing University of Posts and Telecommunications,Nanjing 210003,China

出　　处：《China Communications》2019年第9期235-249,共15页中国通信（英文版）

基　　金：supported by the National Key R&D Program of China(2018YFC1314901);the Natural Science Foundation of China (61871446);the Scientific Research Starting Foundation for New Teachers of Nanjing University of Posts and Telecommunications (NY217033)

摘　　要：A smart medical service system architecture is proposed in this paper to increase medical resource utilization and improve the efficiency of the medical diagnosis process for complex business scenarios in the Medical Internet of Things(MIoT)environment.The resource representation model theory,multi-terminal aggregation algorithm,and the resource discovery algorithm based on latent factor model are also studied.A smart medical service system within the IoT environment is then developed,based on the open source project.Experimental results using real-world datasets illustrate that the proposed smart medical service system architecture can promote the intelligent and efficient management of medical resources to an extent,and assists in the develop towards digitization,intelligence,and precision in the field of medicine.A smart medical service system architecture is proposed in this paper to increase medical resource utilization and improve the efficiency of the medical diagnosis process for complex business scenarios in the Medical Internet of Things(MIoT) environment.The resource representation model theory,multi-terminal aggregation algorithm, and the resource discovery algorithm based on latent factor model are also studied. A smart medical service system within the IoT environment is then developed, based on the open source project. Experimental results using real-world datasets illustrate that the proposed smart medical service system architecture can promote the intelligent and efficient management of medical resources to an extent, and assists in the develop towards digitization, intelligence,and precision in the field of medicine.

关 键 词：Internet of THINGS RESOURCE representationmodel RESOURCE DISCOVERY algorithm SMART MEDICAL service system 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]