Browsing by Author "Mbale, Landry"

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    HEALeB: healthcare 4.0 enabled by iot, ai, and blockchain
    (Springer Science and Business Media Deutschland GmbH, 2025) Bagula, Antoine; Kyangwa, Henriette; Mbale, Landry
    As the volume and sensitivity of medical data continue to grow, ensuring data security and effective analysis has become increasingly challenging. This paper presents the design and development of HEALeB, a comprehensive system that integrates blockchain technology and machine learning (ML) to address these challenges. Blockchain technology offers a decentralized, immutable ledger that ensures data integrity, privacy, and traceability, while ML algorithms enhance predictive analytics and decision-making capabilities. By combining these technologies, HEALeB aims to overcome critical issues such as data tampering, unauthorized access, and the underutilization of decision-support tools. The system’s design leverages blockchain to secure Electronic Health Records (EHRs) and employs ML to provide advanced analytics for personalized and precise healthcare solutions. This approach promises to improve diagnostic accuracy, optimize health management, and enhance overall healthcare quality. The paper provides a detailed exploration of HEALeB’s architecture, its implementation, and its performance evaluation, concluding with insights into the system’s impact and future research directions in the realm of Healthcare 4.0