Published Paper Details:

Through the integration of Blockchain technology and Machine Learning (ML), healthcare is being revolutionized on the basis of improving the data security, interoperability and predictive analytics. The current healthcare systems have the challenge of data breaches, fragmented records, and delays in diseases diagnosis and management. Blockchain provides a decentralized, immutable and semi-transparent platform for sharing information while ML improves the prediction, decision making processes and the workflows in the clinical area. This survey paper aims to demonstrate the relationship between blockchain and ML in the healthcare sector with regard to EHR, disease prediction, secure medical data, and patient care. It also focuses on challenges like scalability, regulatory issues and computational complexity and with that, it presents some potential future directions. The results of the study show that the integration of these technologies may lead to the enhancement of population health management, precision medicine, and medical research and, therefore, better patient care and healthcare delivery.