Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Diabetic nephropathy screening method, model and system based on AI technology

A technology for kidney disease and diabetes, applied in the field of models for kidney disease screening, which can solve problems such as increased risk and heavy disease burden

Active Publication Date: 2020-11-17
SHENTAIWANG HEALTHCARE TECH NANJING CO LTD
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, it is believed that the disease process of DKD is difficult to reverse, and the risk of DKD progressing to ESRD is significantly increased. If patients with high risk of progression are not identified in time and necessary preventive measures are taken to delay the time for patients to reach ESRD, as patients with diabetes and diabetic nephropathy With the increase in the number of people, the number of patients with end-stage renal disease will also increase greatly, and eventually they can only rely on renal replacement therapy to maintain their lives, which will bring a heavy disease burden to families and society

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
  • Diabetic nephropathy screening method, model and system based on AI technology
  • Diabetic nephropathy screening method, model and system based on AI technology
  • Diabetic nephropathy screening method, model and system based on AI technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0116] The present invention proposes a screening model for diabetic kidney disease based on AI technology, including dynamic covariates and Logistic regression calculation methods.

[0117] Further, the dynamic covariate is K-dimensional data, and the K-dimensional data is data after PCA dimension reduction processing; the PCA dimension reduction processing includes the following steps:

[0118] Form the sample data into a matrix X with n rows and m columns by column; zero-meanize each row of X, and subtract the mean value of this row; find the covariance matrix C=1 / mXXT; find the eigenvalues ​​of the covariance matrix and Corresponding eigenvectors; arrange the eigenvectors into a matrix from top to bottom according to the size of the corresponding eigenvalues, and take the first k rows to form a matrix P; Y=PX is the data after dimensionality reduction to k dimensions, thereby obtaining K-dimensional data .

[0119] Further, the Logistic regression calculation method, the ...

Embodiment 2

[0121] The present invention also proposes a method for screening diabetic kidney disease based on AI technology, comprising the following steps:

[0122] Steps of S1 data collection: Obtain the electronic medical record data of diabetic patients from the hospital electronic medical record database according to the inclusion criteria and exclusion criteria, and obtain the sample data;

[0123] Steps of S2 data cleaning and standardization preprocessing: the cleaning and standardization of sample data is based on the established medical entity standard library and the specified unit conversion; find out the different unit names in the sample data, and use the unified unit to compare the different unit names Perform unified replacement; assign and convert non-numeric data in sample data; formulate non-numeric data conversion rules, and perform assignment and conversion on non-numeric data in sample data according to the conversion rules; perform outlier processing on numerical da...

Embodiment 3

[0163] The present invention proposes a diabetic kidney disease screening system based on AI technology. The system includes a user data input module, a diabetic kidney disease screening module, and a screening result output module.

[0164] The user data input module is used to send the input user data to the diabetic kidney disease screening module;

[0165] The screening result output module is used to display the screening result of the diabetic kidney disease screening model, the result being the risk of diabetic nephropathy, such as "yes" or "no".

[0166] The diabetic kidney disease screening module includes a PCA dimension reduction processing sub-module and a high-quality model, and the diabetic kidney disease screening module adopts the following steps to establish:

[0167] (1) Steps of data collection: Obtain the electronic medical record data of diabetic patients from the hospital electronic medical record database according to the inclusion and exclusion criteria, ...

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 discloses a diabetic nephropathy screening method, model and system based on the AI technology. The diabetic nephropathy screening model based on the AI technology comprises a dynamic covariable and a Logistic regression calculation method, the dynamic covariable is K-dimensional data, and the K-dimensional data is data subjected to PCA dimension reduction processing. The diabetic nephropathy screening method and the system are established on the basis of the diabetic nephropathy screening model based on the AI technology, and evaluation result reference is provided for nephroticpatients by establishing the diabetic nephropathy screening model, method and system, so that the effect of early warning and preventing diabetic nephropathy is achieved. Besides, diabetic nephropathy auxiliary diagnosis reference can be provided for doctors.

Description

technical field [0001] The present invention relates to a model and a method for screening kidney disease, in particular to a screening method, model and system for diabetic kidney disease based on AI technology. Background technique [0002] Diabetic kidney disease (DKD) is one of the most important microvascular complications of diabetes. It refers to kidney damage caused by chronic hyperglycemia. It has become the most common cause of end-stage renal disease (ESRD) in Western countries. Diabetic kidney disease has been reported abroad The prevalence rate is 25%-40%, and the prevalence rate of diabetic nephropathy in community type 2 diabetes patients in my country reported in domestic literature is 10%-50%. Diabetes is a common and frequently-occurring disease, and has become one of the major chronic non-communicable diseases that seriously threaten the health of all human beings. Kidney disease associated with diabetes may be DKD or non-diabetic kidney disease (NDKD), an...

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): G16H50/20G16H50/30G16H50/50
CPCG16H50/20G16H50/30G16H50/50
Inventor 黎海源
Owner SHENTAIWANG HEALTHCARE TECH NANJING CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com