In a short time, Blockchain has gained a spectacular success. Since its inception, it has been on the headlines and evolved to be one of those trending technologies that would make a huge impact on the fast-paced digital world. It has been a game-changing technology with it's increased efficiency and different kinds of security features. This book will focus specifically on blockchain for digital governance. It will provide information on the impact and challenges of adopting Blockchain in Digital Governance and will consolidate the current open issues and future research trends of Blockchain which will have a societal impact. It not only introduces and explores blockchain technology in Digital Governance but will demonstrate applications of blockchain in Digital Governance as well. This book addresses the impact and future trends of Blockchain especially for Digital Governance, therefore this book has spectrum of audience which includes under-graduate and post-graduate students, researchers, academicians, industry professionals, scientists working in research laboratories, and more. Hence, the book will be recommended as an instant research reference in college/university libraries. Apart for these audiences mentioned above, the book will be informative for general readers, economists, decision makers in the Government Sectors, and all interested individuals.

Since its inception, blockchain has evolved to become a crucial trending technology that massively impacts the fast-paced digital world. It has been a game-changing technology that is underpinned with cryptocurrencies like Ethereum and Bitcoin that eventually closed the doors for hacking activities. As blockchain is utilized across areas such as banking, voting, finance, healthcare, and manufacturing, it is important to examine the current trends, difficulties, opportunities, and future directions in order to utilize its full potential. Blockchain Technologies and Applications for Digital Governance addresses the impacts and future trends of blockchain, particularly for digital governance, and demonstrates the applications of blockchain in digital governance using case studies. Covering a range of topics from cybersecurity to real estate tokenization, it is ideal for industry professionals, researchers, academicians, instructors, practitioners, and students.

Sudden Cardiac Death (SCD) is a sudden, unexpected death caused by loss of heart function (sudden cardiac arrest) and Sudden Cardiac Arrest (SCA) occurs when the electrical system to the heart malfunctions and suddenly becomes very irregular. Death can often be a result if not handled quick enough or effectively. New technologies seek to help with this issue. Data processing is a crucial step to developing prognostic models. Some of the challenges in data processing are non-linear prediction models, a large number of patients and numerous predictors with complicated correlations. In traditional hypothesis-driven statistical analysis it is difficult to overcome these challenges. Current approaches to predict cardiovascular risk fail to identify many people who would benefit from preventive treatment, while others receive unnecessary intervention. So, there is an emergent need of an adaptation of AI technologies such as Machine Learning and Deep Learning Techniques to overcome the challenges. The Machine Learning (ML) approaches have great potential in increasing the accuracy of cardiovascular risk prediction and to avoid unnecessary treatment. The application of ML techniques may have the potential to improve Heart Failure outcomes and management, including cost savings by improving existing diagnostic and treatment support systems. Moreover, ML algorithms can also be applied to predict SCD. Also, Machine Learning offers an opportunity to improve accuracy by exploiting complex interactions between risk factors. The book addresses the impact and power of technology driven approaches for prevention and detection of SCA and SCD. It will provide insights on causes and symptoms of SCA and SCD and evaluate whether AI Technologies can improve the accuracy of cardiovascular risk prediction. It will explore the current issues and future technology driven solutions for SCA and SCD prevention and detection.