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Blockchain based healthcare system with Artificial Intelligence

Authors
Gul, M.J.J.Paul, A.Rho, S.Kim, M.
Issue Date
Dec-2020
Publisher
Institute of Electrical and Electronics Engineers Inc.
Keywords
Blockchain; Healthcare; Machine learning; Neural Networks; Reinforcement learning
Citation
Proceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020, pp 740 - 741
Pages
2
Journal Title
Proceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020
Start Page
740
End Page
741
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/60272
DOI
10.1109/CSCI51800.2020.00138
ISSN
0000-0000
Abstract
Blockchain is not only for the financial domain anymore. It evolves to accommodate a broad range of domains and applications where trust and privacy are required for smooth transitions. As blockchain evolving, researchers are automating the blockchain tasks for better security and performance. The blockchain management system monitors specific tasks like transaction management, consensus, block security, and blockchain network security. Blockchain management system comprises of specialized engineers and blockchain software platform. This study explores the opportunity for Machine learning concepts to work with blockchain system management to automate tasks in the healthcare scenario. Reinforcement learning is used in this study to automate blockchain tasks with multiagents. Our study found that agents can be trained and perform tasks listed under the healthcare system's blockchain management system. Our study also suggests that storing and accessing data is efficient with machine learning concepts.
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