Abstract

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 rule-based 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 IF-THEN 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 t-test 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 t-test result, there was no significant correlation between actual and predicted values (P>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.

Highlights

  • Inadequate anesthetic, including under or over dosage, may lead to intraoperative awareness or prolonged recovery

  • Obtained value from test and validation of system demonstrated a high performance and satisfying accuracy of the system. This expert system can be used as a decision support system to determine initial dosage of anesthetic drugs

  • It can be used for anesthesia students to learn drug administration

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Summary

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 rule-based expert system to determine the Propofol anesthetic drug dosage was the main objective of this study. General anesthesia affects the brain cells and puts the patient unconscious, pain free, inactivity and free from memory [2]. Many factors affected on anesthetic drugs dosage. To determine the appropriate dose of anesthetic drug, anesthesiologists make decisions about the patient's level of consciousness based on personal experiences and measuring physiological parameters such as cardiac factors, blood pressure [4,5,6,7,8]. It is difficult to pay attention to all parameters simultaneously and an anesthesiologists cannot focus on all physiological factors together [1]. Uncertainty in some factors that represented by linguistic variables, make it more difficult to calculate the dose of drug [9]

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