Abstract
This study to solve the information storage problem in the current medical system analyzes the privacy and security effects of the blockchain (BC) in the Internet of Medical Things (IoMT) and accurately predicts the health status of IoMT users. First, a microgrid is designed to supply power to BC, and then BC is applied to IoMT so that medical data can be stored safely and secure information can be shared. Then, deep learning is used to predict and analyze the characteristics of users' health data. Besides, the IoMT model under BC and improved AlexNet are constructed. Finally, the model is evaluated based on an example. According to the results, the calculation overhead of the model keeps stable at 0.13 s, and the usage of central processing unit is always lower than 17.62%. Regarding data transmission security, the average delay of the model reported keeps stable at 350 ms, and the area under the characteristic curve of receiver operating is 0.9217. This algorithm can accurately predict the user’s physiological health. In this study, a system with high model efficiency and superior performance is created. This work is of significance for the intelligent development and secure information storage in the medical field and contribute to the development of the medical industry.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
