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Blood glucose prediction method and device

A prediction method, blood sugar technology, applied in medical simulation, medical informatics, informatics, etc., can solve the problems of small scope of application of the model, low accuracy of blood sugar prediction, etc., and achieve the effect of wide range and high accuracy

Inactive Publication Date: 2018-11-06
SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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Problems solved by technology

[0004] The purpose of the present invention is to propose a method and device for predicting blood sugar in order to solve the problem of small application range of single model and low accuracy of blood sugar prediction in the prior art

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  • Blood glucose prediction method and device
  • Blood glucose prediction method and device

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Embodiment Construction

[0042] The specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, but it should be understood that the protection scope of the present invention is not limited by the specific embodiments.

[0043] Unless expressly stated otherwise, throughout the specification and claims, the term "comprise" or variations thereof such as "includes" or "includes" and the like will be understood to include the stated elements or constituents, and not Other elements or other components are not excluded.

[0044] figure 1 As shown, the blood glucose prediction method based on the combination model includes the following steps:

[0045] Ⅰ. Clean the original blood glucose data. When performing data cleaning on the original blood glucose measurement data set, the timestamp is stored in the data set in the form of a string, which can be converted to Beijing time through the timestamp conversion function. In the same set of da...

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Abstract

The invention provides a blood glucose prediction method and device. The method includes the following steps: cleaning original measured blood glucose data; smoothing and de-noising the cleaned data by using Kalman filtering; applying an autoregression model, a support vector regression model and a long-term and short-term memory network model to perform prediction according to the filtered data,and obtaining the blood glucose prediction results of the models; calculating the weights of the models separately; performing linear combination on the blood glucose prediction results of the respective models and the weights of the respective models to acquire the combined prediction model prediction value. Compared with the prior art, the method combines various model advantages, and realizes various model weights to predict blood sugar, so that the prediction result is more accurate, and the application range is wider.

Description

technical field [0001] The invention relates to the field of blood sugar monitoring, in particular to a blood sugar prediction method and device. Background technique [0002] Diabetes is a chronic disease in which the blood glucose concentration deviates from the normal range (70-120mg / dL) for a long time. If the blood sugar is higher than the normal range for a long time, it will cause serious complications, and the blood sugar suddenly lower than the normal value will also cause discomfort symptoms, and severe cases can lead to death. At present, there is no cure for diabetes. Controlling blood sugar within the normal range is an important part of the daily management of diabetic patients. Therefore, continuous blood sugar monitoring can accurately and real-time understand the patient's blood sugar level, and also provides a lot for experts and scholars to study blood sugar prediction. blood sugar data. More and more experts and scholars have established many models to ...

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Application Information

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IPC IPC(8): G16H50/50
CPCG16H50/50
Inventor 董宇涵李春涛
Owner SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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