A study on service-oriented smart medical systems combined with key algorithms in the IoT environment

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.