Publication Date: 2024/02/19
Abstract: In the dynamic landscape of healthcare, the fusion of blockchain and machine learning has emerged as a potent force for revolutionizing data security, interoperability, and decision-making processes within Smart Healthcare Systems. This survey paper conducts a systematic review of existing literature, spanning academia and industry, to comprehensively explore the current state of this integration. It elucidates the essential components of smart healthcare systems, emphasizing the central roles of data management, security, and interoperability, while unveiling the intricate challenges and future prospects. The survey underscores the pressing need to address data security and interoperability issues and highlights the potential of blockchain and machine learning to enhance decision- making in the healthcare ecosystem, making a significant contribution to this evolving field and guiding future research and innovation.
Keywords: Blockchain, Machine Learning, Healthcare, Security, Ethereum, Smart Contract, Electronic Health Records, e-Health, Permissioned Blockchain, Decentralized Database.
DOI: https://doi.org/10.5281/zenodo.10677817
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT24FEB246.pdf
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