Maintaining privacy for a recommender system diagnosis using blockchain and deep learning.

Mantey, Eric Appiah; Zhou, Conghua; Mani, Vinodhini; Arthur, John Kingsley; Ibeke, Ebuka

Abstract

The healthcare sector has been revolutionized by Blockchain and AI technologies. Artificial intelligence uses algorithms, recommender systems, decision-making abilities, and big data to display a patient's health records using blockchain. Healthcare professionals can make use of Blockchain to display a patient's medical records with a secured medical diagnostic process. Traditionally, data owners have been hesitant to share medical and personal information due to concerns about privacy and trustworthiness. Using Blockchain technology, this paper presents an innovative model for integrating healthcare data sharing into a recommender diagnostic computer system. Using the model, medical records can be secured, controlled, authenticated, and kept confidential. In this paper, researchers propose a framework for using the Ethereum Blockchain and x-rays as a mechanism for access control, establishing hierarchical identities, and using pre-processing and deep learning to diagnose COVID-19. Along with solving the challenges associated with centralized access control systems, this mechanism also ensures data transparency and traceability, which will allow for efficient diagnosis and secure data sharing.

Citation

MANTEY, E.A., ZHOU, C., MANI, V., ARTHUR, J.K. and IBEKE, E. 2023. Maintaining privacy for a recommender system diagnosis using blockchain and deep learning. Human-centric computing and information science [online], 13, article number 47. Available from: https://doi.org/10.22967/HCIS.2023.13.047

• Journal Article Type: Article
• Acceptance Date: Apr 17, 2022
• Online Publication Date: Oct 30, 2023
• Publication Date: Oct 31, 2023
• Deposit Date: Apr 19, 2022
• Publicly Available Date: Apr 19, 2022
• Journal: Human-centric computing and information sciences
• Electronic ISSN: 2192-1962
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• Volume: 13
• Article Number: 47
• Keywords: Blockchain; AI; Recommender systems; Patients; Health records; Secured data; COVID-19
• Public URL: https://rgu-repository.worktribe.com/output/1645830