Method and device for perfecting medical term knowledge base

A knowledge base and terminology technology, applied in the field of medical information processing, can solve the problems of inability to align a set of terms with the knowledge base, insufficient semantic information, etc., and achieve the effect of excellent effect, high accuracy, and accurate alignment results.

Active Publication Date: 2019-12-17
EAST CHINA UNIV OF SCI & TECH +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these methods mainly have two deficiencies: (1) the existing methods are aimed at the fusion of different knowledge bases, and cannot align a set of terms with the knowledge base; (2) the semantic information in the existing methods is insufficient

Method used

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  • Method and device for perfecting medical term knowledge base
  • Method and device for perfecting medical term knowledge base
  • Method and device for perfecting medical term knowledge base

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0051] refer to figure 2 , figure 2 A flow chart of a method for improving a medical terminology knowledge base provided for the implementation of this application, in this embodiment, includes the following steps:

[0052] Step S1, extract any term from the term set S as a candidate term, and then randomly extract a term from the medical terminology knowledge base KB, and form a term pair set between the candidate term and each term extracted from the medical terminology base. The medical terminology knowledge base is composed of standard terminology in the medical field, the synonym relation of the terminology, and the hypernym relation;

[0053] Step S2, extracting any term pair in the term pair set, and calculating the correlation of the term pair;

[0054] Step S3, sorting the relevancy of all term pairs in the term pair set, and incorporating the term pairs as synonyms into the medical terminology knowledge base according to the relevancy ranking results.

[0055] r...

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Abstract

The invention belongs to the field of computer application, and discloses a method for perfecting a medical term knowledge base. The method comprises the steps of extracting any term from a medical term set to serve as a candidate term, and then extracting any term from a medical term knowledge base to form a term pair set; extracting any term pair in the term pair set, and calculating the correlation of the term pairs; and sorting the correlations of all term pairs in the term pair set, and fusing the term pairs as synonyms into the medical term knowledge base according to a correlation sorting result. Experiments show that by adopting the embodiment of the invention, term alignment can be accurately carried out, and a knowledge base can be effectively perfected.

Description

technical field [0001] The invention belongs to the field of medical information processing, and more specifically relates to a method for improving a medical terminology knowledge base. Background technique [0002] Currently, clinical terminology knowledge bases are widely used in the clinical field. However, the clinical terminology database cannot be constructed once and needs to be continuously improved. There are mainly two reasons: term renaming and adding synonyms. On the one hand, standard terminology names are not permanent and will be replaced by more accurate names over time. For example, in venous whole blood samples, the clinical indicator "hemoglobin" used to be the traditional name of "hemoglobin" (hemoglobin, HGB) in Chinese. On the other hand, since various hospitals in different regions have different names for the same term, it is impossible to merge all synonyms into one KB at the same time. For example, in venous serum specimens collected from diffe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/27G06N3/04G06N3/08
CPCG06N3/08G06N3/048G06N3/045
Inventor 叶琪张佳影何萍阮彤张知行张欢欢马致远
Owner EAST CHINA UNIV OF SCI & TECH
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