Handbook of Large-Scale Distributed Computing in Smart Healthcare

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) a...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Khan, Samee U. (Editor), Zomaya, Albert Y. (Editor), Abbas, Assad (Editor)
Format: Electronic eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Series:Scalable Computing and Communications,
Subjects:
Online Access:Full Text via HEAL-Link
Description
Summary: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.
Physical Description:XI, 635 p. 207 illus. online resource.
ISBN:9783319582801
ISSN:2520-8632