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

Semantic triage method and system

A semantic and classification model technology, applied in the field of department guidance, can solve the problems of small number of guidance staff and long waiting time for patients, and achieve the effect of improving accuracy and efficiency

Active Publication Date: 2021-10-08
HUAZHONG UNIV OF SCI & TECH
View PDF5 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the small number of clinic guides in the hospital, patients have to wait for a long time to obtain the results of triage
Moreover, due to the many types of diseases and the different professional fields, the guide may not be able to give the patient a correct department.

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
  • Semantic triage method and system
  • Semantic triage method and system
  • Semantic triage method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach

[0130] As an optional implementation, it specifically includes:

[0131] The consistency judging subunit is used for judging whether the department with the highest output probability is consistent with the corresponding historical department for any historical disease description.

[0132] The statistics sub-unit is used to count the number of historical disease descriptions in which the department with the highest probability is consistent with the corresponding historical department to obtain the target number.

[0133] The accuracy rate calculation subunit is used to calculate the accuracy rate of the long short-term memory network model under the current training times according to the target number and the total number of historical disease descriptions.

[0134] The stop training subunit is used to stop the training when the accuracy rate is greater than the set threshold.

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 semantic triage method and system. The method comprises the following steps: acquiring actual inquiry data; and inputting the actual inquiry data into a department classification model to obtain a target department, wherein an establishment method of the department classification model comprises the following steps: acquiring historical inquiry data comprising historical disease descriptions and corresponding historical departments; and training a long-short term memory network model according to the historical inquiry data to obtain the department classification model. According to an existing triage method, a hospital guide needs to manually judge corresponding departments according to the disease descriptions, and the manual speed is limited. According to the invention, the target department can be automatically obtained through the department classification model only by inputting the disease descriptions, and the triage efficiency is improved. Moreover, the hospital guide performs department triage completely by virtue of experience, and errors are easy to occur. According to the invention, a triage operation is performed by utilizing the department classification model trained by a large amount of historical data, so that the triage accuracy is improved.

Description

technical field [0001] The invention relates to the technical field of departmental diagnosis guidance, in particular to a semantic triage method and system. Background technique [0002] In a hospital, it is time-consuming and labor-intensive to introduce patients to the correct department. A medical guide is required to analyze a patient's condition description and then assign a department to the patient. However, due to the small number of clinic guides in the hospital, patients need to wait for a long time to obtain the results of triage. Moreover, due to the many types of diseases and the different professional fields, the guide may not be able to give the patient a correct department. Contents of the invention [0003] The purpose of the present invention is to provide a semantic triage method and system to improve the efficiency and accuracy of triage. [0004] To achieve the above object, the present invention provides the following scheme: [0005] A semantic t...

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): G16H40/20G16H50/20G06F16/35G06F40/30G06N3/04
CPCG16H40/20G16H50/20G06F16/353G06F40/30G06N3/048G06N3/044
Inventor 张后今曾培基周金龙章昊肖航吴珂仪
Owner HUAZHONG UNIV OF SCI & TECH
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