Blockchain based healthcare system with Artificial Intelligence
Malik Junaid Jami Gul, Anand Paul, Seungmin Rho, Mucheol Kim
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.