Method and device for predicting diabetes, storage medium, and computer device

A prediction method and diabetes technology, applied in the computer field, can solve problems such as incomplete diagnosis results and inability to judge the severity of the disease.

Pending Publication Date: 2019-09-03
PING AN TECH (SHENZHEN) CO LTD
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

[0005] In view of this, the present application provides a diabetes prediction method and device, storage medium, and computer equipment. The main purpose is to solve the problem of only judging whether the u

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  • Method and device for predicting diabetes, storage medium, and computer device
  • Method and device for predicting diabetes, storage medium, and computer device
  • Method and device for predicting diabetes, storage medium, and computer device

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Embodiment Construction

[0025] Hereinafter, the present application will be described in detail with reference to the embodiments and with reference to the accompanying drawings. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

[0026] Aiming at the problem that the severity of diabetes cannot be judged based on user data when using the constructed 0-1 classification model to predict diabetes, this embodiment provides a diabetes prediction method, such as figure 1 As shown, the method includes:

[0027] 101. Obtain sample user data in original health records and electronic medical record data.

[0028] Among them, the sample user data may include patient visit data, physical examination index data, medication data, and health notification data.

[0029] 102. Create a numerical regression prediction model according to the user characteristics in the sample user data.

[0030] Among t...

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PUM

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Abstract

The invention discloses a method and device for predicting diabetes, a storage medium, and a computer device. The invention relates to the field of computer technology, and can effectively solve the problem that the prior art can only judge whether a user has diabetes but cannot judge the severity of the disease. The method includes: obtaining sample user data in an original health record and electronic medical record data; creating a numerical regression prediction model according to the user characteristics in the sample user data; using the regression prediction model to determine a first physical examination index value of the target user's fasting blood glucose and a second physical examination index value of the post-prandial preset duration blood glucose; and determining the degreeof illness of the target user according to the first physical examination index value and/or the second physical examination index value. This application applies to the prediction of diabetes and thedetermination of the extent of diabetes.

Description

technical field [0001] The present application relates to the field of computer technology, and in particular to a diabetes prediction method and device, storage medium, and computer equipment. Background technique [0002] Diabetes is a group of metabolic diseases characterized by hyperglycemia. When it occurs, it will cause damage to large blood vessels and microvessels and endanger the heart, brain, kidney, peripheral nerves, eyes, feet and other parts. It will also be accompanied by various complications. Therefore, it is absolutely necessary to strengthen the prediction of diabetes. However, with the advancement of science and technology, the diagnosis of diseases is no longer limited to the analysis of doctors, and the use of artificial intelligence to predict diabetes is more in line with today's development trend. [0003] At present, the common method for diabetes prediction in the industry is to collect diabetes medical records, compare the data of diabetic patien...

Claims

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Application Information

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IPC IPC(8): G16H50/20G06K9/62
CPCG16H50/20G06F18/214
Inventor 金晓辉阮晓雯徐亮肖京
Owner PING AN TECH (SHENZHEN) CO LTD
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