Research Analysis of IoT Healthcare Data Analytics Using Different Strategies

In the twenty-first century, it’s important to communicate with each other to stay connected with everyday events. IoT has become most prominent technology in many applications over the past years. Especially in medical applications, IoT is used to exchange the collected information from IoT smart devices to the server. In healthcare monitoring system, it’s important to maintain the patient health record in server for monitoring and tracking patient health information without any privacy issues. Maintaining a secured of electronic health record (EHR) is one of the major concerns in this vast society. To improve the security in healthcare monitoring system, many algorithms have been implemented. In this paper, the security of IoT healthcare data with some data analytics techniques such as RFID, deep learning, machine learning and blockchain is analyzed. Apart from many issues in healthcare monitoring system, this analysis aims to discuss and exhibits how these analytics techniques impact the prediction and decision making based on the performance, security, data transportation efficiency and accuracy.