a fuzzy rule-based expert system to determine propofol drug dosage in anesthesia

introduction: inadequate anesthetic, including under or over dosage, may lead to intraoperative awareness or prolonged recovery. fuzzy expert systems can assist anesthesiologist to manage drug dosage in a right manner. designing a fuzzy rulebased expert system to determine the propofol anesthetic drug dosage was the main objective of this study. material and methods: this is a retrospective study. fuzzy ifthen rules were defined based on evidences and experts’ linguistic rules for propofol dose determination. fuzzy toolbox in matlab software was used to design the system. validation of system conducted with calculation of mean absolute error (mae) and root mean squared error (rmse). also, difference mean between actual and predicted doses was tested with paired ttest in spss v.26 software. data from 50 ent (ears, nose, and throat) surgeries were used to validate the fuzzy system. results: mae for induction and maintenance doses was 0.128 and 1.95 respectively. rmse for induction and maintenance doses was 0.228 and 3.383 respectively. based on paired ttest result, there was no significant correlation between actual and predicted values (p gt;0.05). conclusion: obtained value from test and validation of system demonstrated a high performance and satisfying accuracy of the system. therefore, this expert system can be used as a decision support system to determine initial dosage of anesthetic drugs. it can also be used for anesthesia students to learn drug administration.