System and method for standardization of multilingual medical terminology based on deep adversarial learning

Abstract

The invention discloses a standardization system for multilingual medical terminology based on deep adversarial learning, including a standard medical terminology database, a file preprocessing module, a candidate term set generation module, and a candidate term set rearrangement module; the file preprocessing module is used to unify The format of the medical term string in the real world, and the long string is divided into individual Chinese and English word tokens; the candidate term set generation module is used to filter out the first n medical terms that are consistent with the real world medical term from the standard medical term set The most similar candidate standard term; the candidate term set rearrangement module: used to form a term pair between the real-world medical term and the screened candidate term, and mark it as a positive example and a negative example according to the degree of matching, as the input of the deep learning model, The model is iteratively optimized to generate an automatic term matching model.

Description

technical field [0001] The invention relates to a standardization system and method for multilingual medical terminology based on deep adversarial learning, and belongs to the field of medical technology. Background technique [0002] In the field of domestic medicine, especially in the writing of electronic medical records, there are many kinds of terms and the situation of non-standardization is serious. The previous scheme is to extract similar standard terms according to Chinese character strings after information extraction from electronic medical records, and then experts in the medical field Full manual or semi-automatic proofreading of these terms is performed. The standardization of medical terminology is time-consuming and laborious, and the efficiency is not high. [0003] After retrieval, Publication No. CN109446340A, a medical standard terminology ontology management system and method, equipment and storage medium, the patent discloses the term concept system, ...

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Problems solved by technology

[0007] 1. Due to the short history of Chinese medical informatization construction, the knowledge base and knowledge map resources containing Chinese medical standard terms, synonyms and other important semantic relationships, such as the relationship between diseases and drugs, are limited

[0008] 2. The term standardization method using synonyms as the main matching method is not enough to cover a large number of diverse term irregular expressions in real-world data

[0009] 3. The current work is mainly focused on the mapping between Chinese medical terminology expressions, lacking a flexible automatic model, which can flexibly support term mapping from Chinese to Chinese, Chinese to English, and Chinese to other languages, providing medical research, application, and medical information in my country. Obstacles to the internationalization of internationalized technology and products

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