| Summary: | Blockchain and machine learning technologies can mitigate the issues such as slow access of medical data, system interoperability, patient agency, improved data quality and quantity for medical research. Blockchain technology facilitates to store information in such a way that doctors can see a patient's entire medical history, but researchers see only statistical data instead of any personal information. The ultra-secure and immutable ledgers, strong, consensus mechanisms, decentralization and self-sovereign identity of blockchain technologies have tremendous potential to rebalance and improve machine learning algorithms. In healthcare, blockchain is used to store correct information that is unaltered and permanent, and machine learning can make use of this data to notice patterns and give accurate predictions. This provides more support for the patients and also in research-related fields where there is a need for accurate data to predict credible results. The book explores the concepts and techniques of blockchain and machine learning. Also, the possibility of applying blockchain and machine learning for the enhancement of e-healthcare system is discussed. The specific highlight of the book is on the application of blockchain technology in any area of supply chain, drug verification, reimbursement, control access and clinical trials of healthcare.
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