Risk prediction method and system

A technology of risk forecasting and predicting variables, which is applied in the field of risk assessment, can solve the problems of time-consuming and labor-intensive data, and achieve the effect of improving prediction accuracy and solving time-consuming and labor-intensive situations

Inactive Publication Date: 2018-04-10
PING AN TECH (SHENZHEN) CO LTD
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  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the object of the present invention is to provide a risk prediction method and system to solve the time-consuming and laborious problem of deliberately collecting data from questionnaires and physical examinations in the existing cardiovascular and cerebrovascular disease prediction methods

Method used

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  • Risk prediction method and system

Examples

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no. 1 example

[0043] Such as figure 1 As shown, the first embodiment of the present invention proposes a risk prediction method, which includes the following steps:

[0044] S100, collect basic data related to cardiovascular and cerebrovascular from the regional medical information system.

[0045] Specifically, the basic data includes the data of people who are over 40 years old (because 95% of the patients are older than 40 years old) in this area and exclude the people who themselves suffered from cardiovascular and cerebrovascular diseases in the preset historical time period (for example, within one year). Personal medical history and medication history information.

[0046] S102. Establish a generalized linear logistic regression model based on the basic data.

[0047] Specifically, the generalized linear logistic regression model corresponds ax+b to a probability p through the function L, p=L(ax+b), and then determines the value of the dependent variable y according to the size of ...

no. 2 example

[0071] Such as Figure 5 As shown, the second embodiment of the present invention proposes a risk prediction system 50 .

[0072] In this embodiment, the risk prediction system 50 includes a collection module 500 , an establishment module 502 and a prediction module 504 .

[0073] The collection module 500 is used to collect basic data related to cardiovascular and cerebrovascular from the regional medical information system.

[0074] Specifically, the basic data includes the data of people who are over 40 years old (because 95% of the patients are older than 40 years old) in this area and exclude the people who themselves suffered from cardiovascular and cerebrovascular diseases in the preset historical time period (for example, within one year). Personal medical history and medication history information.

[0075] The establishment module 502 is configured to establish a generalized linear logistic regression model based on the basic data.

[0076] Specifically, the gener...

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Abstract

The invention discloses a risk prediction method and system. The method comprises the following steps of collecting the basic data related to the cardiovascular and cerebrovascular diseases from a regional medical information system; establishing a generalized linear logistic regression model based on the basic data; and predicting the personal cardiovascular and cerebrovascular disease occurrenceprobability according to the generalized linear logistic regression model. Therefore, the conditions that time and manpower are consumed for deliberate data collection for questionnaire survey and the physical examination can be solved, and the prediction accuracy of the cardiovascular and cerebrovascular diseases can be remarkably improved.

Description

technical field [0001] The invention relates to the technical field of risk assessment, in particular to a risk prediction method and system. Background technique [0002] Cardiovascular and cerebrovascular diseases include coronary heart disease (angina pectoris, myocardial infarction, arteriosclerotic heart disease, coronary syndrome, etc.) and stroke (ischemic and hemorrhagic stroke, subarachnoid hemorrhage, etc.). The reasons are relatively similar, and it is classified as a type of disease with reference to international practice. [0003] At present, cardiovascular and cerebrovascular diseases have become the leading cause of death among Chinese residents, but the Center for Disease Control and Prevention's screening of people with high cardiovascular and cerebrovascular risks is still based on traditional empirical judgments. Academic institutions' risk prediction of cardiovascular and cerebrovascular diseases is based on questionnaires and physical Inspections, etc....

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/30
Inventor 孙继超徐亮
Owner PING AN TECH (SHENZHEN) CO LTD
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