FUZZY FUSION: REVOLUTIONIZING SMART HEALTHCARE MONITORING WITH BLOCKCHAIN INTEGRATION
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Keywords
Blockchain, healthcare, IoMT, framework, measures
Abstract
Blockchain and the Internet of Medical Things (IoMT) are widely used in numerous fields, including Healthcare, for applications like secure storage, transactions, in addition development automation. There are no security measures for IoMT devices, which can easily be hacked or affected. Providing remote patient diagnosis is another requirement of smart healthcare. Data protection, costs, memory, scalability, trust, and openness among diverse platforms are all major concerns for the smart healthcare framework. Moreover, blockchain is a revolutionary innovation by immutability structures that provide secure administration, authentication, and access control for IoMT devices. IoMT devices support immutability, as well as secure management provided by blockchain technology. Remote data processing and collection are key features of the IoMT service, a cloud-based internet application. To meet the needs of the healthcare area, an accessible, fault-tolerant, secure, perceptible, and private blockchain is required. In this research work, a blockchain-based autonomous model is being proposed by utilizing fused machine learning to enhance the quality of patient healthcare monitoring in a better and more efficient way. The proposed framework simulation results are enhanced than the previously published approaches in terms of 93% accuracy as well as a 7% miss rate.
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Amjad Hussain
School of Computer Science, National College of Business Administration & Economics, Lahore, 54000, Pakistan
Jamshaid Iqbal Janjua
Al-Khawarizimi Institute of Computer Science (KICS), University of Engineering & Technology (UET), 54890, Lahore, Pakistan
Shahbaz Saeed
Department of Computer Science, TIMES Institute, Multan, 60000, Pakistan
Kashif Jamshaid
Department of Computer Science, TIMES Institute, Multan, 60000, Pakistan
Ahmad Rafi Shahid
Department of Computer Science, TIMES Institute, Multan, 60000, Pakistan
Tahir Abbas
Department of Computer Science, TIMES Institute, Multan, 60000, Pakistan
Umer Farooq
Department of Computer Science, Lahore Garrison University, Lahore, 54792, Pakistan