Fuzzy Logic Based Decision Support System

Anaesthesia practice might involve instances proving to be life threatening. Hence one has to be cautious and at the same time be able to avert any danger if any of such situation prevails But humans can make some errors based on their decision which may lead to loss of life. Hence there is a need to introduce an decision support system (DSS), which would take correct decisions based on the inputs. This paper presents the design and implementation of fuzzy logic based decision support system. Fuzzy logic mimics the human decisions as per the inputs. So the chances of propofol being infused wrongly are minimized. Also various parameters like heart rate, oxygen saturation, blood pressure is continuously monitored. Based upon these inputs to the fuzzy decision support system and Lab-view Graphical user interface (GUI) will give appropriate decision as the depth of anesthesia. Hence the risk to life is attenuated to great extent. This type of decision support system can be used in hospitals and health-care facilities and will prove useful not only to professionals but also to the newcomers in the field of anesthesia. Another advantage of this system is cost effective and viable for human society. Experts based decision support system is designed and implemented using Lab-view. Developed GUI is validated from experts for 270 different conditions. Out of 270 experts 3 decisions accepting given by DSS.