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: Applications of machine learning in digital healthcare
  name:
    name part: Hernandez-Silveira, Miguel
    name part: 1970-
    role:
      role term: editor.
  name:
    name part: Ang, Su-Shin
    role:
      role term: editor.
  type of resource: text
  genre: bibliography
  genre: elektronické knihy
  genre: electronic books
  origin info:
    place:
      place term: enk
    date issued: 2022
    copyright date: 2022
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xi, 400 pages) : illustrations
  abstract: Machine learning algorithms are increasingly finding applications in the healthcare sector. Whether assisting a clinician to process an individual patient's data or helping administrators view hospital bed turnover, the volume and complexity of healthcare data is a compelling reason for the development of machine learning based tools to aid in its interpretation and use. This edited book focuses on the applications of machine learning in the healthcare sector, both at the macro-level for guiding policy decisions, and at the granular level, showing how ML techniques can be applied to process an individual patient's medical data to swiftly aid diagnosis. Written by an international team of experts, the book presents several applications of machine learning in the healthcare sector, including health system planning, optimisation and preparedness, outlining the benefits and challenges of coordination and data sharing. Machine learning has many applications in processing patient data and topics such as arrhythmia detection, image-guided microsurgery and early detection of Alzheimer's disease are discussed in depth. The book also looks at machine learning applications exploiting wearable sensors for real-time analysis and concepts around enhancing physical performance. Suitable for an audience of computer scientists, healthcare engineers and those involved with digital medicine, this book brings together a plethora of machine learning applications from across the board of the healthcare services.
  note: edited by Miguel Hernandez Silveira and Su-Shin Ang.
  note: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
  note: Includes bibliographical references and index.
  subject:
    topic: Artificial intelligence
    topic: Medical applications
  subject:
    topic: Public health
    topic: Data processing
  subject:
    topic: Machine learning
  related item:
    title info:
      title: Applications of machine learning in digital healthcare
    origin info:
      publisher: London : Institution of Engineering and Technology, 2022
    identifier: (OCoLC)1369601390
  identifier: 1839533366
  identifier: 9781839533365
  identifier: 1839533358
  identifier: 9781839533358
  identifier: https://proxy.k.utb.cz/login
  access condition: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
  record info:
    record content source: YDX
    record creation date: 230517
    record change date: 20240717213016.0
    record identifier: kn-on1379220956
    language of cataloging:
      language term: eng