Abstract

The Internet of Health Thing (IoHT) has various applications in healthcare. Modern IoHTintegrates health-related things like sensors and remotely observed medical devices for the assessment and managment of a patient's record to provide smarter and efficient health diagnostics to the patient. In this paper, we proposed an IoT with a cloud-based clinical decision support system for prediction and observation of disease with its severity level with the integration of 5G services and block-chain technologies. A block-chain is a system for storing and sharing information that is secure because of its transparency. Block-chain has many applications in healthcare and can improve mobile health applications, monitoring devices, sharing and storing of the electronic media records, clinical trial data, and insurance information storage. The proposed framework will collect the data of patients through medical devices that will be attached to the patient, and these data will be stored in a cloud server with relevant medical records. Deployment of Block-chain and 5G technology allows for sending patient data securely at a fast transmission rate with efficient response time. Furthermore, a Neural Network (NN) classifier is used for the prediction of diseases and their severity level. The proposed model is validated by employing different classifiers. The performance of different classifiers is measured by comparing the values to select the classifier that is the best for the dataset. The NN classifier attains an accuracy of 98.98. Furthermore, the NN is trained for the dataset so that it can predict the result of the dataset class that is not labeled. The trained Neural Network predicts and intelligently shows the results with more accuracy than other classifiers.

Highlights

  • Telemedicine is a modern technology, and it uses telecommunication that assists a doctor in visiting their patients virtually rather by a live video, an image captured or via email and, receiving patient's information regarding patient's disease [1]

  • In the propose system's design, it’s the consideration that e-Health will improve patient's health monitoring and provides security in healthcare data management by the use of blockchain technology. e potential of block-chain in healthcare is to overcome the challenges related to data security, privacy, sharing, and storage

  • Among the array of many applications that are enabled by the Internet of things (IoT), good and connected health care could be a necessary topic among these applications. e Internet of things (IoT) was initiated in 1959 but the major development in this field was seen in the last 8–10 years

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Summary

Introduction

Telemedicine is a modern technology, and it uses telecommunication that assists a doctor in visiting their patients virtually rather by a live video, an image captured or via email and, receiving patient's information regarding patient's disease [1]. In this way, we proposed the cloud-based clinical decision support system using IoT for the prediction and suggested the treatment with its level of severity by implementing the integration of block-chain and 5G technologies. (i) Present an IoT with the cloud-based framework for the CDSS (ii) Gather the related medical record of the patient from the UCI repository and collect the data of different body parameters from Sensors (iii) Implement the block-chain technologies in storage, which helps to have privacy (iv) Forward the patient data to healthcare providers by using 5G services (v) Employ the NN classifier for identification of the disease (vi) Compare performance by different classifier values (vii) Validate the performance of the model by measuring through the different classifiers.

Overview and Architecture
Background
Neural Network and Prediction System
Performance Evaluation
22 Gender22
Results and Discussion
Conclusion and Future
Full Text
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