Theory & Simulation | Pharmacokinetics & Drug Delivery | Anesthetic Mechanisms
Using fuzzy logic for interaction analysis of sevoflurane and remifentanil
Erik Weber Jensen, Nadine Tupaika, Michel M Struys, Hugo Vereecke*
*Corresponding author: Hugo Vereecke
Anaesthesiology, University Medical Center Groningen (UMCG), Groningen, Netherlands
F1000Posters 2013, 4: 73 (poster) [English]
Poster [1.00 MB]
Anesthesiology 2012, 13 - 17 Oct 2012, P000
University Medical Center Groningen (UMCG)
Structural model-based interaction models describe the interactions between two or more drug concentrations and their linked clinical effects. They are visualized in surface models. An ANFIS (Adaptive Neuro-Fuzzy Inference System) model does not use structural assumptions on the outcome but is trained on existing data.
The ANFIS model was successfully trained on this dataset and detected the synergistic interaction with high prediction probability. Fuzzy logic can serve as an alternative versus structural model-based interaction model to predict the interactions between sevoflurane and remifentanil.
No relevant competing interests disclosed.
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