Preprandial insulin dosage learning optimization decision-making system assisted by expert experience
A technology based on expert experience and decision-making system, applied in computer-aided medical procedures, informatics, medical informatics, etc., it can solve the problems of self-learning without given model, learning the blood sugar regulation law of patients, etc., to improve postprandial blood sugar management, The effect of avoiding system decision-making mistakes and facilitating learning
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[0047] In order to enable those skilled in the art to better understand the solutions of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.
[0048] Such as figure 1 As shown, an expert experience-assisted pre-meal insulin dose learning optimization decision-making system includes an individualized model self-learning module, a risk-sensitive control module, a model prediction evaluation module, an expert experience auxiliary module, and a safety constraint module. At the same time, each parameter in the present invention is determined based on the clinical data of real diabetic patients using MDI therapy in the hospital.
[0049] The individualized model self-learning module uses a Gaussian process to learn the blood glucose metabolism rules of diabetic patients, and obtains a postprandial blood glucose pred...
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