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: IoT-Based Data Analytics for the Healthcare Industry
    sub title: Techniques and Applications
  name:
    name part: Singh, S. K. (Sanjay Kumar)
    role:
      role term: editor.
  name:
    name part: Singh, Ravi Shankar
    role:
      role term: editor.
  name:
    name part: Pandey, Anil Kumar
    role:
      role term: editor.
  name:
    name part: Udmale, Sandeep S
    role:
      role term: editor.
  name:
    name part: Chaudhary, Ankit
    role:
      role term: editor.
  type of resource: text
  origin info:
    place:
      place term: ne
    date issued: 2021
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource
  abstract: IoT Based Data Analytics for the Healthcare Industry: Techniques and Applications explores recent advances in the analysis of healthcare industry data through IoT data analytics. The book covers the analysis of ubiquitous data generated by the healthcare industry, from a wide range of sources, including patients, doctors, hospitals, and health insurance companies. The book provides AI solutions and support for healthcare industry end-users who need to analyze and manipulate this vast amount of data. These solutions feature deep learning and a wide range of intelligent methods, including simulated annealing, tabu search, genetic algorithm, ant colony optimization, and particle swarm optimization. The book also explores challenges, opportunities, and future research directions, and discusses the data collection and pre-processing stages, challenges and issues in data collection, data handling, and data collection set-up. Healthcare industry data or streaming data generated by ubiquitous sensors cocooned into the IoT requires advanced analytics to transform data into information. With advances in computing power, communications, and techniques for data acquisition, the need for advanced data analytics is in high demand.
  target audience: general
  note: edited by Sanjay Kumar Singh, Ravi Shankar Singh, Anil Kumar Pandey, Sandeep S Udmale, Ankit Chaudhary.
  subject:
    topic: Medical statistics
    topic: Data processing
  subject:
    topic: Internet of things
  subject:
    topic: Internet des objets
  subject:
    topic: Internet of things
  subject:
    topic: Medical statistics
    topic: Data processing
  classification: RA409.5 .I68 2021
  classification: RA407
  classification: 610.21
  classification: 610.727
  related item:
    title info:
      title: Intelligent data centric systems
  identifier: 0128214767
  identifier: 9780128214763
  identifier: 9780128214725
  identifier: 0128214724
  identifier: 9780128214763 Ingram Content Group
  identifier: 9780128214763 O'Reilly Media
  identifier: https://proxy.library.tamu.edu/login
  record info:
    record content source: UKAHL
    record creation date: 200926
    record change date: 20260123223901.9
    record identifier: in00004669353
    language of cataloging:
      language term: eng