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: New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension
  name:
    name part: Melin, Patricia.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Prado-Arechiga, German.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: VIII, 88 p. 48 illus., 47 illus. in color. online resource.
  abstract: In this book, a new approach for diagnosis and risk evaluation of ar-terial hypertension is introduced. The new approach was implement-ed as a hybrid intelligent system combining modular neural net-works and fuzzy systems. The different responses of the hybrid system are combined using fuzzy logic. Finally, two genetic algo-rithms are used to perform the optimization of the modular neural networks parameters and fuzzy inference system parameters. The experimental results obtained using the proposed method on real pa-tient data show that when the optimization is used, the results can be better than without optimization. This book is intended to be a refer-ence for scientists and physicians interested in applying soft compu-ting techniques, such as neural networks, fuzzy logic and genetic algorithms, in medical diagnosis, but also in general to classification and pattern recognition and similar problems.
  table of contents: From the Content: Introduction -- Fuzzy Logic for Arterial Hypertension Classification -- Design of a Neuro Design of a Neuro Design of Arterial Hypertension.
  note: by Patricia Melin, German Prado-Arechiga.
  subject:
    topic: Computational intelligence
  subject:
    topic: Biomedical engineering
  subject:
    topic: Health informatics
  subject:
    topic: Computational Intelligence
  subject:
    topic: Biomedical Engineering and Bioengineering
  subject:
    topic: Health Informatics
  classification: Q342
  classification: 006.3
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: SpringerBriefs in Computational Intelligence
  identifier: 9783319611495
  identifier: https://doi.org/10.1007/978-3-319-61149-5
  record info:
    record creation date: 170704
    record change date: 20191026071931.0
    record identifier: 978-3-319-61149-5