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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Collections - College of Software > School of Computer Science and Engineering > 1. Journal Articles
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