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: Big Data in Healthcare
    sub title: Extracting Knowledge from Point-of-Care Machines
  name:
    name part: Amirian, Pouria.
    role:
      role term: editor.
  name:
    name part: Lang, Trudie.
    role:
      role term: editor.
  name:
    name part: van Loggerenberg, Francois.
    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: VII, 100 p. 46 illus., 45 illus. in color. online resource.
  abstract: This book reviews a number of issues including: Why data generated from POC machines are considered as Big Data. What are the challenges in storing, managing, extracting knowledge from data from POC devices? Why is it inefficient to use traditional data analysis with big data? What are the solutions for the mentioned issues and challenges? What type of analytics skills are required in health care? What big data technologies and tools can be used efficiently with data generated from POC devices? This book shows how it is feasible to store vast numbers of anonymous data and ask highly specific questions that can be performed in real-time to give precise and meaningful evidence to guide public health policy.
  table of contents: Introduction – Improving Healthcare with Big Data -- Data Science and Analytics -- Big Data and Big Data Technologies -- Big Data Analytics for Extracting Disease Surveillance Information: An Untapped Opportunity -- Ebola and Twitter. What Insights Can Public Health Draw from Social Media?
  note: edited by Pouria Amirian, Trudie Lang, Francois van Loggerenberg.
  subject:
    topic: Medicine
  subject:
    topic: Pharmaceutical technology
  subject:
    topic: Health informatics
  subject:
    topic: Biomedicine
  subject:
    topic: Pharmaceutical Sciences/Technology
  subject:
    topic: Health Informatics
  classification: RS380
  classification: RS190-210
  classification: 615.19
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: SpringerBriefs in Pharmaceutical Science & Drug Development
  identifier: 9783319629902
  identifier: http://dx.doi.org/10.1007/978-3-319-62990-2
  record info:
    record creation date: 170918
    record change date: 20170918113736.0
    record identifier: 978-3-319-62990-2