On the use of hybrid multivariable models for predicting human response to anesthesia

The standard modeling paradigm used to describe the relationship between input anesthetic agents and output patient endpoint variables are single-input single-output pharmacokinetic-pharmacodynamic compartment models. We investigate the use of hybrid multivariable models to describe the relations between inputs that include anesthesia, surgical stimuli and disturbances to a variety of patient output variables. Data-based modeling methods are employed. Simulated and measured responses are compared.