• DocumentCode
    2906099
  • Title

    Usage of fuzzy systems in critical care environments

  • Author

    Schuh, Christian J.

  • Author_Institution
    Core Unit of Med. Stat. & Inf., Med. Univ. of Vienna, Vienna
  • fYear
    2008
  • fDate
    1-6 June 2008
  • Firstpage
    1339
  • Lastpage
    1344
  • Abstract
    In critical care, patients are surrounded by a multitude of devices for monitoring, diagnostics, and therapy. These devices include patient monitors to measure and monitor vital signs, therapeutic devices to support or replace impaired or failing organs and also to administer medications and fluids for the patients. The concept of fuzzy set theory, which was developed by Zadeh (1965), makes it possible to define inexact medical entities as fuzzy sets. It provides an excellent approach for approximating medical text. Furthermore, fuzzy logic provides reasoning methods for approximate inference. Fuzzy relations and fuzzy control were two initiated research areas from the origin fuzzy set theory in the 1970s. Therefore, this approach may be suitable for intensive care medicine, where experience and intuition play an important role in decision-making. This paper surveys the utilisation of the fuzzy set theory of two research areas, i.e. fuzzy relations and fuzzy control in medical sciences in general, as well as on the basis of three concrete medical fuzzy applications.
  • Keywords
    fuzzy control; fuzzy set theory; inference mechanisms; medical control systems; patient care; patient monitoring; critical care environments; decision-making; fuzzy set theory; fuzzy systems; medical fuzzy applications; reasoning methods; therapeutic devices; Condition monitoring; Decision making; Fuzzy control; Fuzzy logic; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Medical diagnostic imaging; Medical treatment; Patient monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2008. FUZZ-IEEE 2008. (IEEE World Congress on Computational Intelligence). IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-1818-3
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZY.2008.4630546
  • Filename
    4630546