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 otolaryngology
  name:
    name part: Villwock, Jennifer A.
    role:
      role term: editor.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: mou
    date issued: 2024
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource : illustrations
  table of contents: Big data : science fiction or clinically relevant? -- Large administrative datasets : lessons and limitations -- Sources of high-dimensional data : the electronic health record, health systems, and insurance and payor data -- Best practices when interpreting big data studies : considerations and red flags -- Current big data approaches to clinical questions in otolaryngology -- Bias in big data : historically underrepresented groups and implications -- Artificial intelligence in otolaryngology -- The patient perspective on big data and its use in clinical care.
  note: edited by Jennifer A. Villwock.
  note: Includes bibliographical references.
  subject:
    topic: Otolaryngology
    topic: Data processing
  subject:
    topic: Big data
  subject:
    topic: Medical informatics
  subject:
    topic: Otorhinolaryngologic Diseases
    topic: data processing
  subject:
    topic: Big Data
  classification: WV 26.5 B5922 2024eb
  identifier: 9780443105210
  identifier: 0443105219
  identifier: 9780443105203
  identifier: 0443105200
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: YDX
    record creation date: 240728
    record change date: 20241104220143.2
    record identifier: in00005508841
    language of cataloging:
      language term: eng