Handbook of Large-Scale Distributed Computing in Smart Healthcare (Hardcover, 1st ed. 2017)

This volume offers readers various perspectives and visions for cutting-edge research in ubiquitous healthcare. The topics emphasize large-scale architectures and high performance solutions for smart healthcare, healthcare monitoring using large-scale computing techniques, Internet of Things (IoT) and big data analytics for healthcare, Fog Computing, mobile health, large-scale medical data mining, advanced machine learning methods for mining multidimensional sensor data, smart homes, and resource allocation methods for the BANs. The book contains high quality chapters contributed by leading international researchers working in domains, such as e-Health, pervasive and context-aware computing, cloud, grid, cluster, and big-data computing. We are optimistic that the topics included in this book will provide a multidisciplinary research platform to the researchers, practitioners, and students from biomedical engineering, health informatics, computer science, and computer engineering.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Scalable Computing and Communications
Release date:	August 2017
First published:	2017
Editors:	Samee U. Khan • Albert Y. Zomaya • Assad Abbas
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	635
Edition:	1st ed. 2017
ISBN-13:	978-3-319-58279-5
Categories:	Books > Computing & IT > General theory of computing > Systems analysis & design Books > Computing & IT > Internet > Network computers Books > Computing & IT > Social & legal aspects of computing > Health & safety aspects of computing Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General Promotions
LSN:	3-319-58279-8
Barcode:	9783319582795

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