Handbook of Large-Scale Distributed Computing in Smart Healthcare
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Beschreibung
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.Considers emerging large-scale healthcare applications and architectures, including the remote health monitoring, wearable devices, activity recognition for rehabilitation, mobile health, and cloud computing Details the concept of healthcare big data via several chapters focusing on data quality in large-scale healthcare datasets Includes case studies to offer readers an tangible perspective from the smart healthcare domain Provides an essential resource for researchers in health informatics, computer science, and computer engineering Includes supplementary material: sn.pub/extras Includes supplementary material: sn.pub/extras
Autor*in
Samee U. Khan
Themen in »Handbook of Large-Scale Distributed Computing in Smart Healthcare«
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