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
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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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