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 

作者机构：Department of Geriatricsthe First Affiliated Hospital of Nanjing Medical UniversityNanjing 210029China Department of Health Educationthe First Affiliated Hospital of Nanjing Medical UniversityNanjing 210029China Engineering Research Center of Health Service System Based on Ubiquitous Wireless NetworksMinistry of EducationNanjing University of Posts and TelecommunicationsNanjing 210003China 

出 版 物：《China Communications》 (中国通信（英文版）)

年 卷 期：2019年第16卷第9期

页      面：235-249页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

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) 

主　　题：Internet of Things resource representationmodel resource discovery algorithm smart medical service system 

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)*** 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 *** 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.