A Novel Hybrid Based Method in Covid 19 Health System for Data Extraction with Blockchain Technology

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System model of blockchain based COVID-19 healthcare system
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Published: Mar 11, 2023
DOI: https://doi.org/10.17762/ijritcc.v11i3s.6159
Keywords:
Data Extraction, blockchain technology, COVID-19, optimization, Deep learning, performance metrics

Main Article Content

C. R. Rene Robin
Professor & Dean(Innovation), Sri Sairam Engineering College, Chennai
Diana Moses
Associate Professor, Department of Computer Science and Engineering, Methodist College of Engineering and Technology, King Koti, Hyderabad -500001
D. Vijendra Babu
School of Electronics Engineering, Vellore Institute of Technology, Vellore 632014.Tamil Nadu
Balambigai Subramanian
ASSOCIATE PROFESSOR, Department of ECE, Kongu Engineering College, Perundurai, Pincode 638060
Siva Shankar S
Associate Professor,Department of Computer Science and Engineering, KG REDDY COLLEGE OF ENGINEERING &TECHNOLOGY, Moinabad, Hyderabad, Telangana-501504

Abstract

Millions of people have been afflicted by the COVID-19 epidemic, which has resulted in hundreds of thousands of fatalities throughout the world. Extracting correct data on patients and facilities with and without COVID-19 with high confidence for medical specialists or the government is extremely difficult. As a result, utilizing blockchain technology, a reliable data extraction methodology for the COVID-19 database is constructed. In this accurate data extraction model development and validation study in blockchain technology for COVID analysis, here a novel Hybrid Deep Belief Lionized Optimization (HDBLO) approach is proposed. The weights of the deep model are optimized by the fitness of lion optimization. The implementation of this work is executed using MATLAB software. The simulation outcomes shows the effective performance of proposed model in blockchain technology in COVID paradigm in terms of Mean Absolute Error (MAE), Root Mean Square Error (RMSE), accuracy, F-measure, Processing time, precision and error. Consequently, the proposed approach is compared with the conventional strategies for significant validation.

Article Details

How to Cite
Robin, C. R. R. ., Moses, D. ., Babu, D. V. ., Subramanian, B. ., & S, S. S. . (2023). A Novel Hybrid Based Method in Covid 19 Health System for Data Extraction with Blockchain Technology. International Journal on Recent and Innovation Trends in Computing and Communication, 11(3s), 81–94. https://doi.org/10.17762/ijritcc.v11i3s.6159
Issue
Vol. 11 No. 3s (2023)
Section
Articles

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