Unlock instant, AI-driven research and patent intelligence for your innovation.

Association analysis method of disease symptoms based on electronic medical records

An electronic medical record and association analysis technology, which is applied in the field of disease symptom association analysis based on electronic medical records, can solve the problems of affecting the classification effect of unbalanced data sets, affecting work, and low accuracy.

Active Publication Date: 2021-10-22
CENT SOUTH UNIV
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The current classification methods for unbalanced data sets are often complex and relatively low in accuracy, which affects the classification effect of unbalanced data sets.
Because of this, the processing effect of electronic medical records is relatively poor, which seriously affects the follow-up work

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
  • Association analysis method of disease symptoms based on electronic medical records
  • Association analysis method of disease symptoms based on electronic medical records
  • Association analysis method of disease symptoms based on electronic medical records

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0059] Such as figure 1 Shown is the method flowchart of the method of the present invention: this electronic medical record-based disease symptom association analysis method provided by the present invention comprises the following steps:

[0060]S1. Obtain the data of the electronic medical record, preprocess the electronic medical record and convert it into structured data; specifically, the following steps are used for preprocessing and conversion:

[0061] A. Identify disease characteristics in electronic medical records;

[0062] Identify the entity in the electronic medical record to identify the symptom description part, and confirm the final symptom description after confirmation with the medical staff;

[0063] B. Fill the missing values ​​in the electronic medical records; in the specific implementation, the multiple imputation algorithm of SPSS can be used to fill the missing data;

[0064] C. Discretize the continuous features in the electronic medical records; ...

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 disease symptom correlation analysis method based on an electronic medical record, which comprises acquiring and processing the data of the electronic medical record; constructing a classifier for an unbalanced data set; and using the classifier to carry out correlation analysis on the disease symptoms. The present invention obtains the basic data by processing the electronic medical records, and then constructs a classifier of a corresponding new unbalanced data set according to the basic data, and then uses the classifier to perform correlation analysis between diseases and symptoms. Relatively accurate correlation, and the method is simple, scientific and reliable.

Description

technical field [0001] The invention specifically relates to a disease symptom association analysis method based on electronic medical records. Background technique [0002] With the rapid development of information technology, my country's medical industry has also entered the information age. Due to the support of national policies and the large population of our country, a large amount of medical data is generated every day in our country, and Electronic Medical Record (EMR) is the main carrier of these medical data. [0003] With the advent of the era of intelligence, the diagnosis and treatment of diseases has gradually opened the era of intelligence, that is, using existing technical information, as well as the actual condition of the patient and related data, to carry out auxiliary prediction or auxiliary diagnosis of the patient's disease. Pre-diagnosis, so as to provide some help for medical staff. Electronic medical records include very important information such...

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 Patents(China)
IPC IPC(8): G16H10/60G16H50/70G06F16/28G06F16/2455
CPCG16H10/60G16H50/70
Inventor 李芳芳段昱毛星亮
Owner CENT SOUTH UNIV
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com