Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Chinese electronic case text analysis method and system

An electronic medical record, text analysis technology, applied in the direction of electronic digital data processing, special data processing applications, instruments, etc., can solve the problem of not mining the rules or characteristics of a given label

Active Publication Date: 2018-11-16
TSINGHUA UNIV
View PDF4 Cites 38 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] (2) From the perspective of practical application, the existing technology starts from the content of medical records and tries to find a suitable algorithm to calculate the similarity between medical records, but does not dig out the underlying rules or characteristics behind the given labels, and then find similarity medical records

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
  • Chinese electronic case text analysis method and system
  • Chinese electronic case text analysis method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] Embodiments of the text analysis method and system for Chinese electronic medical records according to the present invention will be described below with reference to the accompanying drawings. Those skilled in the art would recognize that the described embodiments can be modified in various ways or combinations thereof without departing from the spirit and scope of the invention. Accordingly, the drawings and description are illustrative in nature and not intended to limit the scope of the claims. Also, in this specification, the drawings are not drawn to scale, and like reference numerals denote like parts.

[0044] The Chinese electronic medical record text analysis method of the present embodiment comprises the following steps:

[0045] In step S10, the medical record text from the clinic (that is, the real medical record text) is used as the original data to obtain the medical record data set to be processed. Preferably, the texts of the medical records are respe...

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 provides a Chinese electronic case text analysis method and system. The method includes following steps: obtaining a case data set by employing case texts; separating value variables andtext information through regularization processing, determining value information meaning according to context description, and searching and structurally saving time information of different categories by employing a regular expression; performing word segmentation and part-of-speech tagging on the texts by employing natural language processing, performing further screening with the combinationof medical entity identification, and determining positions and types of medical key vocabularies in the texts; analyzing and screening the medical key vocabularies and information; simulating cases by employing the above related results; converting content of the texts to value vectors; adding similarity tags to the case texts; learning marks of the case texts; and screening the cases with the similarity on new case samples from the case data set according to the marks and training results. According to the method and system, for different evaluation standards, different similar case text clusters can be found from existed case texts for each new case text.

Description

technical field [0001] The invention relates to the technical field of machine learning, in particular to a text analysis method and system for Chinese electronic medical records. Background technique [0002] Auxiliary diagnosis system based on electronic medical information analysis has been widely used with the improvement of hospital electronic and informationalization. In addition to gaining diagnosis and treatment experience for new patients from past medical records, doctors can also get inspiration from the treatment methods of other similar patients stored in the auxiliary diagnosis system. Analyzing and utilizing information stored in electronic medical records can help doctors make accurate diagnoses. The purpose of the present invention is to analyze the past medical records. If the experts have already made a judgment on the similarity of some of the medical records, the present invention will analyze the newly arrived medical records according to the similarit...

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): G16H50/70G06F17/30
CPCG16H50/70
Inventor 张学工李季闾海荣陈文昌
Owner TSINGHUA 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
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