The invention discloses an optimization analysis
system for simulating an
anesthesia process, relates to the technical field of
anesthesia simulation optimization analysis, and is used for solving the problem of inaccurate
anesthesia individualized
simulation decision. By constructing an anesthesia
simulation system fusing a pharmacokinetic and pharmacodynamic model and a physiological
coupling model, dynamic
process simulation under individual physiological states and operative characteristics is realized,
state evolution trajectories of an
induction period, a maintenance period and a
resuscitation period can be accurately deduced, and by introducing
deep learning calculation and stage continuity constraints, the accuracy of the
state evolution trajectories of the
induction period, the maintenance period and the
resuscitation period is improved. The method comprises the following steps of: establishing a multi-path
drug delivery and ventilation strategy, setting a risk-efficiency scoring function, completing state tracking and index evaluation of the whole process, generating a strategy scoring set with confidence information, further supporting an abnormal probability judgment and risk triggering mechanism by the
system, and outputting key monitoring parameters and coping strategies, so as to improve the simulation accuracy and stability; therefore, closed-
loop control of strategy optimization and risk early warning is realized, and the credibility of the anaesthesia simulation process is improved.