Decision analysis method based on clinical variable attributes

A decision analysis and variable technology, applied in the field of clinical data analysis, can solve problems such as increased errors and difficult analysis, and achieve the effect of improving accuracy

Inactive Publication Date: 2020-06-16
JIANGSU QLIFE MEDICAL TECH GRP CO LTD +1
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition, when integrating and analyzing multiple variables, errors are often increased due to different measurement units, value ranges, and standardization methods, which brings difficulties to subsequent analysis

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
  • Decision analysis method based on clinical variable attributes
  • Decision analysis method based on clinical variable attributes
  • Decision analysis method based on clinical variable attributes

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0044] The present invention designs a decision analysis method based on clinical variable attributes, which is used to realize the influence of variable attributes on sample objects for each sample object in the database from the same data source, and each sample object corresponds to the data of the same variable attributes. Quantitative analysis of effects, in practical applications, such as figure 1 As shown, the following steps A to G are specifically performed.

[0045] Step A. For each variable attribute, obtain the number of non-empty data that does not repeat each other in the data of each sample object corresponding to the variable attribute, as the number m of non-repeated data corresponding to the variable attribute, m≥2; complete the pairing After the above operation of each variable attribute, then go to s...

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 relates to a decision analysis method based on clinical variable attributes, and the method comprises the steps: employing a brand-new logic design method; based on sample objects of thesame data source, obtaining a primary effect value corresponding to the data for the data of each variable attribute corresponding to the sample object based on the discrimination of a numerical typevariable and a classification variable; then, based on the primary effect value, obtaining an L2 norm value of each variable attribute, and further obtaining a weight value of each variable attribute; and finally, combining the primary effect value to obtain an influence effect quantized value of the variable attribute on the sample object. Therefore, the quantitative reaction of the influence ofthe variable attribute on the sample object is realized, an objective and accurate data reference basis is provided for subsequent analysis and application of the variable attribute data, and the accuracy of final data analysis and application is effectively improved.

Description

technical field [0001] The invention relates to a decision analysis method based on clinical variable attributes, belonging to the technical field of clinical data analysis. Background technique [0002] Clinically, doctors need to integrate and analyze multiple variable data, evaluate the patient's disease status, and expect to give the best treatment plan. When doctors integrate and analyze data, they need to rely on their own experience, which is highly subjective. Especially when they lack experience, evaluation bias often occurs, which brings hidden dangers to both doctors and patients. At the same time, different hospitals have different monitoring methods and instrument specifications for the same disease, which will lead to differences in the index data of the same disease in different hospitals. Even experienced doctors often have doubts and are difficult to quickly evaluate the data. The results. How to analyze the effect of a certain variable data on the sample ...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G16H10/20G16H50/70G06F16/2458
CPCG06F16/2462G16H10/20G16H50/70
Inventor 成晓亮张磊
Owner JIANGSU QLIFE MEDICAL TECH GRP CO LTD
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