Abstract
The technology boom in Industry 4.0 has resulted in the generation of large volume of medical data. Smart healthcare systems have burgeoned with the convergence of blockchain, machine learning, and internet of things (IoT). The amalgamation of privacy-preserving blockchain technology and predictive diagnosis by machine learning models produces an enhanced healthcare system. This chapter aims to shed light on the machine learning algorithms and blockchain technologies currently used in the healthcare industry. The advantages of opting for blockchain for preserving data integrity and privacy are highlighted. A few applications and steps involved in implementing blockchain and machine learning in healthcare, as well as the challenges faced while doing so, are discussed. Finally, a theoretical blockchain-machine learning internet of medical things(IoMT) framework is proposed, drawing from the recent research advancements.
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