Unlock instant, AI-driven research and patent intelligence for your innovation.
Information prediction model and construction method and construction device thereof
What is Al technical title?
Al technical title is built by PatSnap Al team. It summarizes the technical point description of the patent document.
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
View PDF0 Cites 0 Cited by
Summary
Abstract
Description
Claims
Application Information
AI Technical Summary
This helps you quickly interpret patents by identifying the three key elements:
Problems solved by technology
Method used
Benefits of technology
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
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more
Image
Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
Click on the blue label to locate the original text in one second.
Reading with bidirectional positioning of images and text.
Smart Image
Examples
Experimental program
Comparison scheme
Effect test
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:
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More
PUM
Login to View More
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
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More
Application Information
Patent Timeline
Application Date:The date an application was filed.
Publication Date:The date a patent or application was officially published.
First Publication Date:The earliest publication date of a patent with the same application number.
Issue Date:Publication date of the patent grant document.
PCT Entry Date:The Entry date of PCT National Phase.
Estimated Expiry Date:The statutory expiry date of a patent right according to the Patent Law, and it is the longest term of protection that the patent right can achieve without the termination of the patent right due to other reasons(Term extension factor has been taken into account ).
Invalid Date:Actual expiry date is based on effective date or publication date of legal transaction data of invalid patent.
Login to View More 
Login to View More 
