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: Machine-learning device for in-home detection and diagnosis of COVID-19 patients' health
  name:
    name part: Abreu, Damien
    role:
      role term: academic.
  name:
    name part: Berger, Kathleen
    role:
      role term: narrator.
  name:
    name part: Dang, Lena
    role:
      role term: academic.
  type of resource: moving image
  genre: videorecording
  origin info:
    place:
      place term: xx
    date issued: 2020
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (1 video file (00:04:08)) : sound, colour
  abstract: Kathleen Berger, Dr. Brian Kim, and Damien Abreu and Lena Dang, both fourth-year medical students at Washington University, discuss a clinical trial to test machine learning for in-home detection and diagnosis of the health of COVID-19 patients.
  target audience: specialized
  note: Academic, Damien Abreu.
  note: Narrator, Kathleen Berger.
  note: Academic, Lena Dang.
  note: Closed-captioned in English.
  subject:
    topic: Machine learning
    topic: Testing
  subject:
    topic: Clinical trials
    topic: Statistical methods
  subject:
    topic: COVID-19 (Disease)
    topic: Patients
    topic: Research
  subject:
    topic: Études cliniques
    topic: Méthodes statistiques
  subject:
    topic: COVID-19
    topic: Patients
    topic: Recherche
  subject:
    topic: Clinical trials
    topic: Statistical methods
  classification: R853.S7 M33 2020
  classification: 610.727
  identifier: 9781529790085
  identifier: 1529790085
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: SGPBL
    record creation date: 210825
    record change date: 20241105203026.9
    record identifier: in00005515926
    language of cataloging:
      language term: eng