Method for predicting residual life quantile based on left truncated and right censored data

A technology of right-censored data and prediction method, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve the influence of dynamic covariate life, does not consider covariate dynamics, dynamic covariates increase parameter estimation Difficulty and other issues to achieve the effect of reasonable coverage

Inactive Publication Date: 2018-11-20
XIDIAN UNIV
View PDF0 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] (2) Under the left-censored right data, the existing technology does not consider the dynamics of covariates. In actual engineering tests and clinical experiments, the impact of dynamic covariates on lifespan is also significant
Therefore, the prediction accuracy obtained by the existing technology is not

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
  • Method for predicting residual life quantile based on left truncated and right censored data
  • Method for predicting residual life quantile based on left truncated and right censored data
  • Method for predicting residual life quantile based on left truncated and right censored data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0057] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0058] The purpose of the present invention is to consider the impact of dynamic covariates on the prediction of remaining life quantiles, and propose a method for predicting remaining life quantiles considering dynamic covariates under left-truncated and right-censored data. This prediction method can effectively improve the prediction accuracy of the remaining life.

[0059] The application principle of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0060] like figure 1 As shown, the method for predicting the quantile of remaining life based on left-truncated an...

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

No PUM Login to view more

Abstract

The invention belongs to the technical field of computer aided design, and discloses a method for predicting a residual life quantile based on left truncate and right censoring data. By establishing aclassical residual life quantile prediction model, the functional relationship between a residual life quantile and a dynamic covariate is constructed by a COX model, and the estimation method of unknown parameters of the model is given by combining the characteristics of the left truncated and right censored data, so the estimation value of the residual life quantile based on dynamic covariate prediction is obtained. The method for predicting the residual life quantile under the left truncated and right censored data of the present invention is relatively simple in realization process, and the COX model is used to establish the functional relationship of the residual life quantile prediction containing the dynamic covariate, and the prediction accuracy of the residual life is improved atthe same time.

Description

technical field [0001] The invention belongs to the technical field of computer-aided design, in particular to a method for predicting the quantile of remaining life based on left-truncated and right-censored data. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: In medical survival analysis and engineering reliability research, remaining life is often used as a key indicator for evaluation by researchers. Since Haineshe and Singpurwalla proposed the concept of quantile of remaining life in 1974, the quantile of remaining life has been studied by many scholars as a substitute for average remaining life. Compared with the average remaining life, the remaining life quantile can describe the remaining life more fully. In particular, the average remaining life is sensitive to skewed or asymmetric life distribution, and even cannot be calculated, while the remaining life quantile performs well, so the remaining li...

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
no application Login to view more
IPC IPC(8): G06F17/50
CPCG06F30/20
Inventor 冯海林高伟齐小刚
Owner XIDIAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap