Title :
An intelligent decision support system for body fluid balancing
Author :
Chan, Wai-Kwong ; Naghdy, Fazel
Author_Institution :
Dept. of Electr. & Comput. Eng., Wollongong Univ., NSW, Australia
Abstract :
Body fluid balancing of a patient is a critical issue in long surgical operations. Currently, the anaesthetist administers the body fluid through the input/output model of the processes involved which is estimated using acquired knowledge and experience. A decision support system (DSS) is developed in this work to assist the anaesthetist in this process. The DSS is built based on fuzzy logic control which is ideal for developing input/output models in an unstructured and imprecise environment. The fuzzy rules used in this decision support system are derived automatically from the clinical data produced in surgical operations. The performance of the DSS in comparison with the judgement of an anaesthetist is illustrated
Keywords :
decision support systems; fuzzy control; fuzzy set theory; medical expert systems; medical information systems; surgery; uncertainty handling; DSS performance; anaesthetist; body fluid balancing; clinical data; decision support system; fuzzy logic control; fuzzy rules; imprecise environment; input/output model; input/output models; intelligent decision support system; long surgical operations; Automatic control; Blood pressure; Decision support systems; Drugs; Fuzzy logic; Fuzzy systems; Heart; Intelligent systems; Medical control systems; Pressure control; Surgery;
Conference_Titel :
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4253-4
DOI :
10.1109/ICIPS.1997.669286