Construction method and system of hypertension prediction model

A technology for constructing methods and prediction models, which is applied in the field of the construction of hypertension prediction models and can solve problems such as unpredictable, untimely treatment and prevention.

Pending Publication Date: 2021-08-13
吾征智能技术(北京)有限公司
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

However, in the prior art, it is impossible to predict whether you will suffer from high

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  • Construction method and system of hypertension prediction model
  • Construction method and system of hypertension prediction model
  • Construction method and system of hypertension prediction model

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Embodiment 1

[0044] Embodiment 1 provided by the present invention is an embodiment of the construction of a hypertension prediction model provided by the present invention, combining figure 1 As can be seen, this embodiment includes:

[0045] The characteristic variables of hypertension prediction model were screened and determined based on statistical methods.

[0046] Preferably, the process of screening and determining the characteristic variables of the hypertension prediction model includes: determining the variables that affect the prevalence of hypertension, performing correlation analysis according to the binary Logistic regression method, obtaining the hidden state P value of each variable, and selecting the P value less than the set value The variable with a fixed threshold is used as a feature variable.

[0047] In the specific implementation, we can first determine some factors that may affect the prevalence of hypertension, that is, variables, based on the "China Hypertensio...

Embodiment 2

[0085] Embodiment 2 provided by the present invention is an embodiment of a system for constructing a hypertension prediction model provided by the present invention, figure 2 A construction system structure diagram of a hypertension prediction model provided by the embodiment of the present invention, combined with figure 2 It can be seen that the embodiment of the construction system includes: a characteristic variable screening module, a characteristic variable parameter calculation module and a model construction module.

[0086] The characteristic variable screening module is used to screen and determine the characteristic variables of the hypertension prediction model based on statistical methods.

[0087] The characteristic variable parameter calculation module is used to use the characteristic variable as a factor to determine the regression coefficient and the corresponding score of each characteristic variable.

[0088] The model construction module is used to con...

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Abstract

The invention relates to a construction method and system of a hypertension prediction model. The construction method comprises the following steps: screening and determining characteristic variables of the hypertension prediction model based on a statistical method; taking the characteristic variables as factors, and determining a regression coefficient and a corresponding score of each characteristic variable; constructing a multi-factor Logistic (logarithmic probability) regression model for hypertension prediction according to the regression coefficient and the corresponding score of each feature variable, wherein the multi-factor Logistic regression model is a hypertension risk prediction probability value function corresponding to each feature variable. Analysis is conducted for main influence factors of hypertension, the Logistic regression model is adopted to determine a quantitative relationship between various risk factors and the occurrence of future hypertension, and the incidence probability of future hypertension of an individual is predicted with the levels of various risk factors.

Description

technical field [0001] The invention relates to the technical field of health management, in particular to a method and system for constructing a prediction model of hypertension. Background technique [0002] Hypertension is one of the chronic diseases with the largest number of patients and the most important risk factor for the death of cardiovascular and cerebrovascular diseases among urban and rural residents. However, the awareness rate, treatment rate and control rate of hypertension are still at a low level overall. [0003] At present, it is often based on the patient's clinical manifestations to judge whether the patient has the disease, so it is easy to miss the best time to prevent hypertension. Therefore, it is particularly important to take measures to prevent hypertension. However, in the prior art, it is impossible to predict whether to suffer from high blood pressure in the future, resulting in failure to treat and prevent it in time. Contents of the inve...

Claims

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Application Information

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IPC IPC(8): G16H50/30G16H50/70
CPCG16H50/30G16H50/70Y02A90/10
Inventor 李平陈伯怀
Owner 吾征智能技术(北京)有限公司
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