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Medical terminology standardization system and method based on heterogeneous graph neural network

A neural network and neural network training technology, applied in the field of standardization of Chinese medical terminology and multi-center medical information platform

Active Publication Date: 2022-02-22
ZHEJIANG LAB
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0011] The purpose of the present invention is to address the shortcomings of current medical terminology standardization methods, based on the characteristics of medical terminology itself, to propose a medical terminology standardization system and method based on a heterogeneous graph neural network

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  • Medical terminology standardization system and method based on heterogeneous graph neural network
  • Medical terminology standardization system and method based on heterogeneous graph neural network
  • Medical terminology standardization system and method based on heterogeneous graph neural network

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Embodiment Construction

[0070] In order to make the above objects, features and advantages of the present invention more comprehensible, specific implementations of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0071] In the following description, a lot of specific details are set forth in order to fully understand the present invention, but the present invention can also be implemented in other ways different from those described here, and those skilled in the art can do it without departing from the meaning of the present invention. By analogy, the present invention is therefore not limited to the specific examples disclosed below.

[0072] In the present invention, the standardization of medical terms refers to: combining knowledge in the medical field and natural language processing methods, analyzing various medical terms generated in real clinical environments, identifying medical terms with the same meaning and distinguishing medical te...

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Abstract

The invention discloses a medical terminology standardization system and method based on a heterogeneous graph neural network. Firstly, key information units are constructed for various types of medical terminology to realize the structured representation of medical terminology, and based on the information unit, various Knowledge graph of type medical terminology. Based on this knowledge graph, a heterogeneous graph neural network containing various types of medical terms is constructed. During the training process of the heterogeneous graph neural network, the distribution of adjacent nodes and the content coding of nodes are considered comprehensively for the normalization of medical terms. The present invention can make full use of the knowledge of the correlation and difference between information units of the same kind of medical terms, accommodate various types of medical terms at the same time, can comprehensively learn the knowledge in the medical field, and can conveniently add new types of medical terms to the system In , the workload of normalizing new types of medical terms is reduced.

Description

technical field [0001] The invention belongs to the technical field of standardization of Chinese medical terms and a multi-center medical information platform, and in particular relates to a medical term standardization system and method based on a heterogeneous graph neural network. Background technique [0002] An important research direction in the process of medical informatization is to apply higher-performance machine learning and artificial intelligence technologies to solve practical clinical problems. One of the advantages of artificial intelligence technology is that it can discover complex laws and characteristics from massive data. Therefore, the medical data of multiple medical institutions is comprehensively used for analysis, mining and model design, and then provides support for medical research and clinical decision-making. It has become a medical informatization inevitable trend. However, due to the numerous information standards adopted by different medi...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/36G06F40/194G06F40/30G16H50/70G06N3/04G06N3/08
CPCG06F16/367G06F40/194G06F40/30G16H50/70G06N3/04G06N3/08
Inventor 李劲松杨宗峰辛然田雨周天舒
Owner ZHEJIANG LAB