The invention provides a preprandial
insulin dosage learning optimization decision-making
system assisted by expert experience. According to the
system,
artificial intelligence and expert experience methods are combined, information contained
in patient blood sugar monitoring and
insulin infusion data is mined at the same time, a safe and effective preprandial
insulin dosage can still be determined based on historical data under the condition of few samples, the postprandial
blood sugar management is improved, and meanwhile, the
system is endowed with abilities of continuous
adaptive learning and decision-making
performance improvement. Therefore, in order to improve postprandial blood
glucose management and utilize a small amount of patient historical data, an expert decision-making assisted preprandial
insulin dose individualized learning decision-making system is designed, a
model prediction evaluation method is introduced into the system, system decision errors under the condition of few samples are effectively avoided, and the blood glucose
metabolism rule of the patient is continuously learned; and meanwhile, an iterative updating thought is further introduced, a postprandial
blood sugar management target is determined in a self-adaptive mode, and safe and effective preprandial insulin doses can be rapidly determined under the condition that few samples are used for diabetic patients under different illness conditions.