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Diabetes data analysis model training method and device, diabetes data management method and device, and equipment

A data analysis and model training technology, applied in the computer field, can solve problems such as different diagnosis and treatment results, and achieve the effect of improving the quality of life

Pending Publication Date: 2021-10-08
联仁健康医疗大数据科技股份有限公司
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the risk assessment of diabetes and the corresponding health management recommendations are mainly given by doctors based on the user's physical examination report, which is largely affected by the doctor's experience, and different doctors may have different diagnosis and treatment results

Method used

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  • Diabetes data analysis model training method and device, diabetes data management method and device, and equipment
  • Diabetes data analysis model training method and device, diabetes data management method and device, and equipment
  • Diabetes data analysis model training method and device, diabetes data management method and device, and equipment

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Embodiment 1

[0070] figure 1 It is a flow chart of a diabetes data analysis model training method provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation where a diabetes data analysis model is constructed and trained based on a large amount of diabetes-related clinical data. The method can be executed by a diabetes data analysis model training device, which can be realized by software and / or hardware, and integrated into a computer device with application development function.

[0071] Such as figure 1 As shown, the diabetes data analysis model training method includes the following steps:

[0072] S110. Obtain clinical data related to diabetes, and perform preprocessing on the clinical data.

[0073] Among them, the clinical data related to diabetes can be the data that needs to be considered when evaluating diabetes clinically, such as the basic physical information of the target object, the result data of clinical biochemical tests, and the q...

Embodiment 2

[0093] figure 2 It is a flow chart of a diabetes data management method provided by Embodiment 2 of the present invention. This embodiment belongs to the same inventive concept as the sample processing method in the above embodiment, and further describes the diabetes data analysis model that is completed through training. The process of data analysis management. The method can be executed by a diabetes data management device, which can be realized by software and / or hardware, and integrated in a computer device with application development function.

[0094] Such as figure 2 As shown, the diabetes data management method includes the following steps:

[0095] S210. Obtain diabetes clinical data, and perform preprocessing on the diabetes data.

[0096] Among them, the clinical data of diabetes is the data that needs to be considered when evaluating diabetes clinically, such as the basic physical information of the target object, the result data of clinical biochemical test...

Embodiment 3

[0103] image 3 The schematic diagram of the structure of the diabetes data analysis model training device provided by Embodiment 3 of the present invention. This embodiment is applicable to the situation of constructing and training the diabetes data analysis model based on a large amount of diabetes-related clinical data. The device can be composed of software and / or hardware It is implemented in a manner and integrated in computer equipment with application development functions.

[0104] Such as image 3 As shown, the diabetes data analysis model training device includes: a data acquisition and preprocessing module 310 , a data analysis module 320 and a model training module 330 .

[0105] Wherein, the data acquisition and preprocessing module 310 is used to acquire clinical data related to diabetes and preprocess the clinical data, wherein the clinical data includes the basic physical information of the target object, clinical biochemical test result data, and pre-proces...

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Abstract

The embodiment of the invention discloses a diabetes data analysis model training method and device, a diabetes data management method and device, and equipment. The method comprises the following steps: obtaining clinical data related to diabetes, and carrying out preprocessing of the clinical data; performing hierarchical clustering analysis on the preprocessed clinical data, and performing fuzzy clustering analysis based on a hierarchical clustering analysis result to determine the optimal classification number of the clinical data; and inputting the clinical data classified according to the optimal classification number and corresponding classification labels as model training samples into an initial diabetes data analysis model, and performing model training to obtain a target diabetes data analysis model. According to the embodiment of the invention, the problem of non-uniform analysis standards of diabetes data is solved, analysis of a large amount of diabetes data is realized, a diabetes risk grade classification system is established, and clinical diabetes data can be managed under a uniform analysis management standard so as to improve the life quality of diabetics.

Description

technical field [0001] The embodiments of the present invention relate to the field of computer technology, and in particular to a diabetes data analysis model training and data management method, device and equipment. Background technique [0002] Diabetes mellitus is a metabolic disease characterized by hyperglycemia due to defects in insulin secretion or insulin action, which can affect the quality of life of patients and even lead to death. Diabetes can be maintained with medication and a healthy lifestyle and diet. Therefore, early diagnosis and health management of diabetes are of vital importance. However, the risk assessment of diabetes and the corresponding health management recommendations are mainly given by doctors based on the user's physical examination report, which is largely affected by the doctor's experience, and different doctors may have different diagnosis and treatment results. It is also necessary to combine clinical data related to diabetes to esta...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/20G16H50/30G16H10/20G06K9/62
CPCG16H50/20G16H50/30G16H10/20G06F18/231G06F18/23213
Inventor 刘伟业
Owner 联仁健康医疗大数据科技股份有限公司
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