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
Link To Document