The book Green Computing and Predictive Analytics for Healthcare® excavate the rudimental concepts of Green Computing, Big Data, and the Internet of Things along with the latest research development in the domain of healthcare. It also covers various applications and case studies in the field of computer science with state-of-the-art tools and technologies. The rapid growth of population is a challenging issue in maintaining, monitoring various exposures of quality of service in healthcare. The coherent usage of these limited resources in connection with optimum energy consumption has been becoming more important. The major healthcare nodes are gradually getting Internet of Things enabled, sensors, and the work data and involvement of networking is creating smart campuses, corporate houses. The book encompasses chapters belong to the Internet of Things and Big Data technologies. Features: Biomedical data monitoring under the Internet of Things Environment data sensing and analyzing Big data analytics and clustering Machine learning techniques for sudden cardiac death prediction Robust brain tissue segmentation Energy-efficient and green Internet of Things for healthcare applications Blockchain technology for Internet of healthcare Things Advanced healthcare for Domestic medical tourism system Edge computing for data analytics This Book on "Green Computing and Predictive Analytics for Healthcare" aims at promoting and facilitating exchanges of research knowledge and findings across different disciplines on the design and investigation of healthcare data analytics. It can also be used as a textbook for a Masters's course in biomedical engineering. This book will also present new methods for the medical data evaluation, and diagnosis of different diseases to improve the quality of life in general, and better integration into society.