Medical Big Data and Internet of Medical Things: Advances, Challenges and Applications

Medical Big Data and Internet of Medical Things: Advances, Challenges and Applications Front Cover
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2018-10-06
356 pages

Book Description

and the Internet of Things (IoT) play a vital role in prediction systems used in biological and applications, particularly for resolving issues related to disease biology at different scales. Modelling and integrating big data with the IoT helps in building effective prediction systems for automatic recommendations of diagnosis and treatment. The ability to mine, process, analyse, characterize, classify and cluster a variety and wide volume of data is a challenging task. There is a great demand for the design and development of methods dealing with capturing and automatically analysing data from imaging systems and IoT sensors. Addressing analytical and legal issues, and research on of big data analytics with respect to clinical practice and clinical utility, architectures and clustering techniques for IoT data processing, effective frameworks for removal of misclassified instances, practicality of big data analytics, methodological and technical issues, potential of in managing healthcare data is the need of the hour. This book integrates different aspects used in the field of healthcare such as big data, IoT, soft computing, machine learning, augmented reality, organs on chip, personalized drugs, implantable , integration of bio-interfaces, and wearable sensors, devices, practical body area network (BAN) and architectures of web systems.

Key Features:

  • Addresses various applications of Medical Big Data and Internet of Medical Things in real time environment
  • Highlights recent innovations, designs, developments and topics of interest in machine learning techniques for classification of medical data
  • Provides background and solutions to existing challenges in Medical Big Data and Internet of Medical Things
  • Provides optimization techniques and models to parallelize the computationally intensive tasks in data mining of medical data
  • Discusses interactions, advantages, limitations, challenges and future perspectives of IoT based remote healthcare monitoring systems.
  • Includes data privacy and security analysis of cryptography methods for the Web of Medical Things (WoMT)
  • Presents case studies on the next generation medical chair, electronic nose and pill cam are also presented.

Book Details

  • Title: Medical Big Data and Internet of Medical Things: Advances, Challenges and Applications
  • Length: 356 pages
  • Edition: 1
  • Language: English
  • Publisher:
  • Publication Date: 2018-10-06
  • ISBN-10: 1138492477
  • ISBN-13: 9781138492479
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