English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In recent years, the global Internet of Medical Things (IoMT) industry hasevolved at a tremendous speed. Security and privacy are key concerns on theIoMT, owing to the huge scale and deployment of IoMT networks. Machine learning(ML) and blockchain (BC) technologies have significantly enhanced thecapabilities and facilities of healthcare 5.0, spawning a new area known as"Smart Healthcare." By identifying concerns early, a smart healthcare systemcan help avoid long-term damage. This will enhance the quality of life forpatients while reducing their stress and healthcare costs. The IoMT enables arange of functionalities in the field of information technology, one of whichis smart and interactive health care. However, combining medical data into asingle storage location to train a powerful machine learning model raisesconcerns about privacy, ownership, and compliance with greater concentration.Federated learning (FL) overcomes the preceding difficulties by utilizing acentralized aggregate server to disseminate a global learning model.Simultaneously, the local participant keeps control of patient information,assuring data confidentiality and security. This article conducts acomprehensive analysis of the findings on blockchain technology entangled withfederated learning in healthcare. 5.0. The purpose of this study is toconstruct a secure health monitoring system in healthcare 5.0 by utilizing ablockchain technology and Intrusion Detection System (IDS) to detect anymalicious activity in a healthcare network and enables physicians to monitorpatients through medical sensors and take necessary measures periodically bypredicting diseases.

A Secure Healthcare 5.0 System Based on Blockchain Technology Entangled with Federated Learning Technique