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

Method and system for automatically constructing knowledge base based on word vectors to realize assisted diagnosis and treatment

An automatic construction and word vector technology, applied in the field of data processing, can solve problems such as large manpower and time costs, inability to analyze and utilize diagnostic systems, and instability of manual scoring

Active Publication Date: 2020-02-28
INST OF AUTOMATION CHINESE ACAD OF SCI
View PDF15 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The problem with this type of method is that there is great instability and subjectivity in manual scoring, and it will consume a lot of manpower and time costs when the number of diseases that need to be marked is large. In addition, for information other than optional symptoms, diagnosis The system cannot be analyzed and exploited

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
  • Method and system for automatically constructing knowledge base based on word vectors to realize assisted diagnosis and treatment
  • Method and system for automatically constructing knowledge base based on word vectors to realize assisted diagnosis and treatment
  • Method and system for automatically constructing knowledge base based on word vectors to realize assisted diagnosis and treatment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0078] Preferred embodiments of the present invention are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention, and are not intended to limit the protection scope of the present invention.

[0079] The basic idea of ​​the embodiment of the present invention is to use word vector embedding technology to generate distributed representations of general medical information, online doctor-patient colloquial question-and-answer records, and disease-disease-related factors in patient case databases, and automatically construct disease-disease-related factors. Knowledge map, and then realize the auxiliary diagnosis of the patient's oral condition description.

[0080] The terms or definitions that need clarification are as follows:

[0081] Disease-related factors: Various factors that may cause, help judge or contain certain disease inf...

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 method and a system for constructing a knowledge base for assisted diagnosis and treatment based on word vectors. The method comprises the following steps: acquiring patient description; matching the keywords in the patient description based on the expanded disease-disease-related factor dictionary constructed based on the word vectors, and extracting medicine-related words and expression from the patient description; detecting whether the extracted words and expression are in the standard disease-disease-related factor dictionary; calculating the score of the disease based on the detecting result and according to related score of the disease corresponding to the disease-related factors obtained from the expanded diseases-disease-related factor dictionary; sequencing the score of the disease; determining the disease according to the sequencing result. With the adoption of the method and the system, the technical problem of how to predicate orally-described disease of a patient can be solved.

Description

technical field [0001] The embodiment of the present invention relates to the technical field of data processing, in particular to a method and system for automatically constructing a knowledge base based on word vectors to realize assisted diagnosis and treatment. Background technique [0002] With the rapid development of many doctor-patient online question-and-answer websites and mobile phone application services in the Internet medical field, a large number of colloquial descriptions of patients' conditions and various comprehensive information, as well as the corresponding doctor's diagnosis results constitute a question-and-answer pair, forming a valuable Consultation knowledge base. Because these records are often unstructured data, and there are a lot of non-standard medical terms caused by colloquial descriptions, there are many challenges in directly utilizing these data. At the same time, there is a lot of duplication of work in the patient cases of online consul...

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): G16H50/20G16H70/20G06F16/35G06F16/36G06N5/04
CPCG06N5/043G16H50/20
Inventor 张文生牛景昊
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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