@inproceedings{a56c09ba523d42c1836ff85987f25e32,
title = "Blockchain based healthcare system with Artificial Intelligence",
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.",
keywords = "Blockchain, Healthcare, Machine learning, Neural Networks, Reinforcement learning",
author = "Gul, {Malik Junaid Jami} and Anand Paul and Seungmin Rho and Mucheol Kim",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020 ; Conference date: 16-12-2020 Through 18-12-2020",
year = "2020",
month = dec,
doi = "10.1109/CSCI51800.2020.00138",
language = "English",
series = "Proceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "740--741",
booktitle = "Proceedings - 2020 International Conference on Computational Science and Computational Intelligence, CSCI 2020",
address = "United States",
}