Abstract
Our study analyzes anesthesia with sevofluran through the prism of 5 regress models on the results of 5 anesthetic parameters, systolic pressure, diastolic pressure, pulse, respiratory frequency, oxygen saturation in the blood periferic. For the elaboration of the optimal model carried out a selection of 5 main approximation functions, including linear, logarithmic, exponential, power, polynom. A correlation analysis of the effect of Sevoflurane on all anesthetic parameters was performed. The regression model with the polynom function most accurately reflects the real situation. During laparoscopic intervention, 3 anesthesiologist parameters turned out to be informative, namely systolic pressure, pulse, respiratory rate. Sevoflurane has a significant effect on the pulse (the first place in the power of influence), on systolic pressure (the second place), on respiratory frequency (third place). Graphically, the dynamics of all optimal models with the result of the coefficient of determination is presented in detail.
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