Preprandial insulin dosage individualized decision-making system based on Gaussian process

Abstract

The invention provides a preprandial insulin dosage individualized decision-making system based on a Gaussian process. The system utilizes an artificial intelligence method to mine information contained in patient blood glucose monitoring and insulin infusion data at the same time, establishes a postprandial blood glucose prediction model conforming to a human body metabolism rule, utilizes a risksensitive optimization control thought to determine the risk sensitivity coefficient in an individualized mode, and uses a Bayesian optimization method to solve the optimization problem, so the safeand effective preprandial insulin dosage can still be determined even under the condition that deviation exists in model prediction, and postprandial blood glucose management is improved. Therefore, in order to improve postprandial blood glucose management, the preprandial insulin dosage individualized decision-making system based on Gaussian process learning risk sensitive control is designed byutilizing historical data of a patient, the system fully excavates information of historical data of blood glucose metabolism of the patient, and the postprandial blood glucose prediction model is established, so subsequent postprandial blood sugar control or postprandial high and low blood sugar early warning can be conveniently implemented.

Description

technical field [0001] The invention belongs to the technical field of Gaussian process and risk-sensitive control, and in particular relates to an individualized decision-making system for preprandial insulin dosage based on Gaussian process. Background technique [0002] Insulin and glucagon work together to maintain normal blood sugar levels in the body. Diabetes mellitus results from defective insulin secretion or impaired biological action. Type 1 diabetes occurs when insulin is not secreted at all, and type 2 diabetes occurs when insufficient insulin is secreted. Both type 1 and type 2 diabetes can lead to acute symptoms such as hypoglycemia, as well as serious long-term complications such as cardiovascular disease and chronic kidney disease. According to statistics from the International Diabetes Federation in 2017, the number of patients in my country reached 114.4 million, making it the largest in the world. With the improvement of modern living standards in our ...

AI Technical Summary

Problems solved by technology

Although the patent uses the historical data of insulin infusion to adjust the dose of insulin at meal time, it ignores the data of blood glucose monitoring, and it is difficult to see the change pattern of the patient's blood glucose and the inter-individual differences in the metabolic process, which can be used to improve dosage decision-making

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