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Handbook of Large-Scale Distributed Computing in Smart Healthcare

  • Book
  • © 2017

Overview

Editors:
  1. Samee U. Khan

    1. Department of Electrical and Computer Engineering, North Dakota State University , Fargo, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Albert Y. Zomaya

    1. School of Information Technologies, University of Sydney, Sydney, Australia

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    You can also search for this editor in PubMed   Google Scholar

  3. Assad Abbas

    1. Department of Computer Science, COMSATS Institute of Information Technology, Islamabad, Pakistan

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    You can also search for this editor in PubMed   Google Scholar

  • 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

Part of the book series: Scalable Computing and Communications (SCC)

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Table of contents (23 chapters)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Introduction to Large-Scale Distributed Computing in Smart Healthcare

    • Assad Abbas, Samee U. Khan, Albert Y. Zomaya
    Pages 1-7

  3. High Performance Computing and Large-Scale Healthcare Architectures

    1. Front Matter

      Pages 9-9
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    2. Big Healthcare Data Analytics: Challenges and Applications

      • Chonho Lee, Zhaojing Luo, Kee Yuan Ngiam, Meihui Zhang, Kaiping Zheng, Gang Chen et al.
      Pages 11-41

    3. Process Streaming Healthcare Data with Adaptive MapReduce Framework

      • Fan Zhang, Junwei Cao, Samee U. Khan, Keqin Li, Kai Hwang
      Pages 43-66

    4. High-Performance Monte Carlo Simulations for Photon Migration and Applications in Optical Brain Functional Imaging

      • Fanny Nina-Paravecino, Leiming Yu, Qianqian Fang, David Kaeli
      Pages 67-85

    5. Building Automation and Control Systems for Healthcare in Smart Homes

      • M. Frenken, J. Flessner, J. Hurka
      Pages 87-119

  4. Data Quality and Large-Scale Machine Learning Models for Smart Healthcare

    1. Front Matter

      Pages 121-121
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    2. Electronic Health Records: Benefits and Challenges for Data Quality

      • Abdul Kader Saiod, Darelle van Greunen, Alida Veldsman
      Pages 123-156

    3. Large Scale Medical Data Mining for Accurate Diagnosis: A Blueprint

      • Md. Sarwar Kamal, Nilanjan Dey, Amira S. Ashour
      Pages 157-176

    4. Machine Learning Models for Multidimensional Clinical Data

      • Christina Orphanidou, David Wong
      Pages 177-216

    5. Data Quality in Mobile Sensing Datasets for Pervasive Healthcare

      • Netzahualcóyotl Hernández, Luis A. Castro, Jesús Favela, Layla Michán, Bert Arnrich
      Pages 217-238

  5. Internet-of-Things, Fog Computing, and m-Health

    1. Front Matter

      Pages 239-239
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    2. Internet of Things Based E-health Systems: Ideas, Expectations and Concerns

      • Mirjana Maksimović, Vladimir Vujović
      Pages 241-280

    3. Fog Computing in Medical Internet-of-Things: Architecture, Implementation, and Applications

      • Harishchandra Dubey, Admir Monteiro, Nicholas Constant, Mohammadreza Abtahi, Debanjan Borthakur, Leslie Mahler et al.
      Pages 281-321

    4. Technologies and Practices: Mobile Healthcare Based on Medical Image Cloud and Big Data (in China)

      • Jianzhong Hu, Weihong Huang, Yedong Huang
      Pages 323-357

    5. Large-Scale Innovations and Approaches for Community Healthcare Support in Developing Nations

      • Shah Jahan Miah
      Pages 359-375

  6. Wearable Computing for Smart Healthcare

    1. Front Matter

      Pages 377-377
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    2. Wearable Computers for Sign Language Recognition

      • Jian Wu, Roozbeh Jafari
      Pages 379-401

    3. Real-Time, Personalized Anomaly Detection in Streaming Data for Wearable Healthcare Devices

      • Bharadwaj Veeravalli, Chacko John Deepu, DuyHoa Ngo
      Pages 403-426
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Keywords

About this book

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.

Editors and Affiliations

  • Department of Electrical and Computer Engineering, North Dakota State University , Fargo, USA

    Samee U. Khan

  • School of Information Technologies, University of Sydney, Sydney, Australia

    Albert Y. Zomaya

  • Department of Computer Science, COMSATS Institute of Information Technology, Islamabad, Pakistan

    Assad Abbas

About the editors

Samee U. Khan is a Program Director at the National Science Foundation, where he is responsible for the Smart & Autonomous Systems program, Critical Resilient Interdependent Infrastructure Systems and Processes program, and Computer Systems Research cluster. He also is a faculty at the North Dakota State University. He is an ACM Distinguished Speaker, an IEEE Distinguished Lecturer, a Fellow of the IET, and a Fellow of the BCS.

Albert Y. Zomaya is currently the Chair Professor of High Performance Computing & Networking and Australian Research Council Professorial Fellow in the School of Information Technologies, The University of Sydney. He is also the Director of the Centre for Distributed and High Performance Computing which was established in late 2009.

Assad Abbas is as an Assistant Professor of Computer Science at COMSATS Institute of Information Technology (CIIT), Islamabad, Pakistan. His research interests are mainly but not limited to Smart Health, Big Data Analytics, Recommendation Systems, Patent Analysis, and Social Network Analysis. Assad’s research has appeared in several reputable international venues. He is also serving as the referee for numerous prestigious journals and as the technical program committee member for several conferences. Moreover, he is a member of IEEE and IEEE-HKN.



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