rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Internet of Things and Big Data Technologies for Next Generation Healthcare
  name:
    name part: Bhatt, Chintan.
    role:
      role term: editor.
  name:
    name part: Dey, Nilanjan.
    role:
      role term: editor.
  name:
    name part: Ashour, Amira S.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2017
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: X, 388 p. 159 illus. online resource.
  abstract: This comprehensive book focuses on better big-data security for healthcare organizations. Following an extensive introduction to the Internet of Things (IoT) in healthcare including challenging topics and scenarios, it offers an in-depth analysis of medical body area networks with the 5th generation of IoT communication technology along with its nanotechnology. It also describes a novel strategic framework and computationally intelligent model to measure possible security vulnerabilities in the context of e-health. Moreover, the book addresses healthcare systems that handle large volumes of data driven by patients’ records and health/personal information, including big-data-based knowledge management systems to support clinical decisions. Several of the issues faced in storing/processing big data are presented along with the available tools, technologies and algorithms to deal with those problems as well as a case study in healthcare analytics. Addressing trust, privacy, and security issues as well as the IoT and big-data challenges, the book highlights the advances in the field to guide engineers developing different IoT devices and evaluating the performance of different IoT techniques. Additionally, it explores the impact of such technologies on public, private, community, and hybrid scenarios in healthcare. This book offers professionals, scientists and engineers the latest technologies, techniques, and strategies for IoT and big data.
  note: edited by Chintan Bhatt, Nilanjan Dey, Amira S. Ashour.
  subject:
    topic: Engineering
  subject:
    topic: Health informatics
  subject:
    topic: Practice of medicine
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computational intelligence
  subject:
    topic: Biomedical engineering
  subject:
    topic: Engineering
  subject:
    topic: Computational Intelligence
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Health Informatics
  subject:
    topic: Biomedical Engineering
  subject:
    topic: Practice and Hospital Management
  classification: Q342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Studies in Big Data, 23
  identifier: 9783319497365
  identifier: http://dx.doi.org/10.1007/978-3-319-49736-5
  record info:
    record creation date: 170102
    record change date: 20171124141515.0
    record identifier: 978-3-319-49736-5