A Remote Health Monitoring System for Patients in a Cloud-based Internet of Things Environment

Health monitoring systems have a special importance in today's modern medicine, and on the other hand, the inherent readiness of cloud systems in connection with the Internet of Things (IoT) can help improve the efficiency of these systems. In this paper, a method for monitoring the health of patients is presented in the cloud-based IoT environment, which is based on boosting and benefits from deep learning. The use of boosting deep learning algorithms to achieve higher levels of efficiency in patient health monitoring is one of the innovations of this paper. The patient health monitoring data sets have been used in the fields of heart, lung, kidney and brain. In order to measure the effectiveness of the proposed method, it was compared with some other prominent methods and compared with accuracy metrics and F-measure. The results of various tests showed that the proposed method performed better than other compared methods in most cases and achieved higher levels of efficiency.