Medical data relationship mining method and device

A technology of medical data and relationship mining, applied in the field of medical information extraction, can solve the problems of high labeling cost, seldom used in clinical cases, and the effect depends on the degree of detail of the rules, etc., to achieve the effect of improving efficiency

Active Publication Date: 2021-11-26
天津新开心生活科技有限公司 +1
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, in the above method of artificial abstract rules, artificial rules are a one-size-fits-all method, and the effect depends on the degree of detail of the rules.
The above-mentioned method based on text syntax dependency analysis in natural language processing, if it is trained for a specific field, the labeling cost is very high, so there are few direct applications in clinical cases

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
  • Medical data relationship mining method and device
  • Medical data relationship mining method and device
  • Medical data relationship mining method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The same reference numerals denote the same or similar parts in the drawings, and thus their repeated descriptions will be omitted.

[0032] Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided in order to give a thorough understanding of embodiments of the invention. However, those skilled in the art will appreciate that the technical solutions of the present invention may be practiced without one or more of the ...

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 medical data relation mining method and device, electronic equipment and a computer-readable medium. The method includes: acquiring first medical data and second medical data in the target text; performing feature extraction on the first medical data and the second medical data to obtain the first medical data and the second medical data A feature vector of the data; inputting the feature vector into a trained classification model to determine a target relationship between the first medical data and the second medical data. The invention can efficiently identify the relationship between the medical data in the clinical case text, and improves the efficiency of mining the relationship of the medical data, so as to facilitate further statistical analysis of the data.

Description

technical field [0001] The present invention relates to the field of medical information extraction, in particular to a medical data relationship mining method, a medical processing device, electronic equipment and a computer-readable medium. Background technique [0002] In clinical case texts, much information is recorded in the form of long texts, which is not convenient for subsequent statistical analysis tasks. The structuring of clinical cases can solve such technical problems. Among them, the relationship mining of medical terms in long texts is a very important step in the structuring of clinical data. [0003] In the prior art, there are methods of artificially abstracting rules and methods based on text syntax dependency analysis in natural language processing for mining medical data relationships. [0004] However, in the above method of artificially abstracting rules, artificial rules are a one-size-fits-all method, and the effect depends on the degree of detai...

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): G16H50/70G06F16/43
CPCG16H50/70G06F16/3344
Inventor 焦增涛
Owner 天津新开心生活科技有限公司
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