Strategy network training method, insulin infusion scheme generation method and electronic equipment
A network training and insulin technology, which is applied in neural learning methods, biological neural network models, medicines or prescriptions, etc., can solve problems such as high labor costs and difficulty in accurately determining insulin infusion schemes, and achieve the effect of reducing labor costs
Pending Publication Date: 2022-04-08
姜京池
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Problems solved by technology
[0004] The problem solved by the present invention is to solve the problems in the prior art that it is difficult to accurately determine the insulin infusion scheme and the labor cost is high
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[0052] In order to make the above objects, features and advantages of the present invention more clearly understood, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
[0053] It should be noted that the terms "first", "second" and the like in the description and claims of the present invention and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used may be interchanged under appropriate circumstances such that the embodiments of the invention described herein can be practiced in sequences other than those illustrated or described herein.
[0054] In the present invention, a meta-intensive learning algorithm is used to train a strategy network to generate an insulin infusion plan. First, the relevant knowledge of the meta-reinforcement learning algorithm is explained.
[005...
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The invention provides a strategy network training method, an insulin infusion scheme generation method and electronic equipment, and the training method comprises the following steps: an obtaining step: obtaining the current blood glucose state of any virtual user; a scheme generation step: generating a current insulin infusion scheme according to a pre-established strategy network and the current blood glucose state; acquiring a next blood glucose state of the virtual user after insulin infusion, determining an instantaneous reward of an insulin infusion scheme according to the next blood glucose state, and storing the instantaneous reward into an experience playback pool; extracting interaction data from the experience playback pool, and training a strategy network by adopting a meta reinforcement learning algorithm according to the interaction data to obtain a trained strategy network; iteratively executing the scheme generation step for multiple times in combination with the trained strategy network in the following blood glucose state to obtain multiple pieces of interaction data; and returning to execute the obtaining step, and iteratively training the strategy network to obtain a trained strategy network. According to the technical scheme, the labor cost can be reduced, and the robustness of blood glucose control is improved.
Description
technical field [0001] The invention relates to the technical field of blood sugar control, in particular, to a strategy network training method, a method for generating an insulin infusion plan, and an electronic device. Background technique [0002] According to the latest edition of "Diabetes Overview" released by the International Diabetes Federation (IDF) in 2019, 463 million adults (20-79 years old) in the world suffer from diabetes, and the incidence of diabetes is increasing year by year. , The trend of younger incidence groups seriously threatens human life and health, and brings a heavy burden to the development of society. [0003] The artificial pancreas is an effective device for the treatment of diabetes, which combines a continuous blood glucose meter and a precise intelligent control algorithm to automatically adjust the insulin infused into the human body by the insulin pump. Among them, the intelligent control algorithm is the core technology of the artifi...
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IPC IPC(8): G16H20/17G06N3/04G06N3/08
Inventor 姜京池王勃然刘劼关毅于雪卉
Owner 姜京池