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A Fuzzy Rule-Based Expert System to Determine Propofol Drug Dosage in Anesthesia Publisher



Babaei M1 ; Kalhori SRN2 ; Sheybani S3 ; Karim H4
Authors
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Authors Affiliations
  1. 1. Mashhad University of Medical Sciences, Mashhad, Iran
  2. 2. Department of Health Information Management, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran
  3. 3. Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
  4. 4. Tehran Shahre Salem Company, Tehran Municipality, Tehran, Iran

Source: Frontiers in Health Informatics Published:2021


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. © 2021, Published by Frontiers in Health Informatics.