Information prediction model and construction method and construction device thereof

A technology for prediction models and construction methods, applied in informatics, bioinformatics, healthcare informatics, etc., can solve problems such as inability to meet daily needs and low accuracy of information prediction models, and achieve the effect of improving sensitivity and specificity

Pending Publication Date: 2022-07-08
THE FIRST HOSPITAL OF CHINA MEDICIAL UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] However, the multiple regression model established by the linear regression analysis method can only reflect a single linear relationship between multiple independent variables and event result parameters, while restricted cubic splines can only fit the nonlinear relationship between a single independent variable and event result parameters. relation
Therefore, the accuracy of the information prediction model established only through linear regression analysis and restricted cubic splines is low, which cannot meet daily needs.

Method used

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  • Information prediction model and construction method and construction device thereof
  • Information prediction model and construction method and construction device thereof
  • Information prediction model and construction method and construction device thereof

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Embodiment 1

[0043] like figure 1 As shown, Embodiment 1 of the first aspect of the present invention provides a method for constructing an information prediction model, which specifically includes the following steps:

[0044] S102, obtain a sample set;

[0045] S104, define event result parameters and independent variables;

[0046] S106, based on the sample set, determine a nonlinear independent variable that has a nonlinear relationship with the event result parameter through a univariate spline regression model, and determine the number of nodes of each nonlinear independent variable;

[0047] S108, based on the sample set, determine at least one linear independent variable related to the event result parameter by means of linear regression;

[0048] S110 , constructing an information prediction model based on the determined nonlinear independent variables, the number of nodes of each nonlinear independent variable, and the linear independent variables.

[0049] According to the in...

Embodiment 2

[0059] Wherein, implementation column 2 of the first aspect of the present invention provides a method for constructing an information prediction model, such as figure 2 As shown, the method specifically includes the following steps:

[0060] S202, obtain a training set, the number of which is 207.

[0061] S204: Screen out nonlinear variables that are nonlinearly related to the event outcome Z, such as variable X1, variable X2, variable X3, and variable X4.

[0062] S206, the number of nodes is determined through single factor spline regression, such as knot1, knot2, knot3, knot4.

[0063] S208: Screen out linear variables that are linearly related to the event outcome Z, such as variable Y1, variable Y2, variable Y3, and variable Y4.

[0064] S210, construct a function based on the filtered nonlinear variables, linear variables and the number of nodes of the linear variables:

[0065] f=as.formula(Z~rcs(X1,knot1)+rcs(X2,knot2)+rcs(X3,knot3)+rcs(X4,knot4)+Y1+Y2+Y3+Y4).

...

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Abstract

The invention provides an information prediction model and a construction method and device thereof. The construction method of the information prediction model comprises the steps of obtaining a sample set; defining event result parameters and independent variables; based on the sample set, non-linear independent variables having a non-linear relationship with the event result parameters are determined through a single-variable spline regression model, and the node number of each non-linear independent variable is determined; based on the sample set, determining at least one linear independent variable related to the event result parameter through a linear regression mode; and constructing an information prediction model based on the determined non-linear independent variables, the node number of each non-linear independent variable and the linear independent variables. According to the technical scheme, by screening out the independent variables with linear or nonlinear influence and comprehensively establishing the model, compared with an existing model established independently through linear variables or nonlinear variables, the established model greatly improves the prediction sensitivity and specificity.

Description

technical field [0001] The present invention relates to the field of information prediction, in particular, to an information prediction model, a construction method and a construction device thereof. Background technique [0002] In statistics, Linear Regression is a regression analysis that uses a least squares function called a linear regression equation to model the relationship between one or more independent variables and event outcome parameters. In bioinformatics, linear regression analysis is widely used in disease diagnosis, efficacy prediction, and prognosis prediction. According to the different types of event outcome variables, linear regression can be divided into cox model that can fit prognosis and logistic regression model that the outcome is a binary variable. In fact, an important assumption of most linear regression models is that the independent variables and event outcome parameters are linearly related, which is difficult to meet in practice. A commo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/18G16H20/00G16B20/00G16B25/20
CPCG06F17/18G16H20/00G16B20/00G16B25/20Y02A90/10
Inventor 徐莹莹王钰淞王墨之
Owner THE FIRST HOSPITAL OF CHINA MEDICIAL UNIV
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