Electronic medical record named entity recognition method based on character and word pronunciation fusion feature model

A named entity recognition and electronic medical record technology, which is applied in the computer field, can solve the problems of complex model construction, poor performance of named entities, and low inference efficiency, so as to improve the recognition effect, improve the recognition effect of named entities, and reduce complex work. degree of effect

Pending Publication Date: 2021-07-20
BEIJING UNIV OF CHEM TECH
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Problems solved by technology

[0004] In view of the above problems, the present invention proposes a named entity recognition method for electronic medical records based on word pronuncia

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  • Electronic medical record named entity recognition method based on character and word pronunciation fusion feature model
  • Electronic medical record named entity recognition method based on character and word pronunciation fusion feature model
  • Electronic medical record named entity recognition method based on character and word pronunciation fusion feature model

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Embodiment Construction

[0026] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0027] like figure 1 As shown, the electronic medical record named entity recognition method based on word pronunciation fusion feature model described in the present invention comprises the following steps:

[0028] Generate a set of word vectors of characters corresponding to the character sequence of the electronic medical record of the named entity to be identified; generate four word sets of "B", "M", "E", and "S" through the Soft-lexicon construction mod...

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Abstract

The invention discloses an electronic medical record named entity recognition method based on a character and word pronunciation fusion feature model. The method comprises the following steps of generating a set of character and word vectors of characters corresponding to a character sequence of an electronic medical record of a named entity to be recognized, generating a pronunciation vector corresponding to the character sequence, inputting the pronunciation vector into a first neural network for processing to obtain a pronunciation enhanced word vector corresponding to the character sequence, performing word frequency weight and pronunciation weight processing and fusion on the pronunciation enhanced word vectors to generate a word pronunciation feature model, and inputting the word pronunciation feature model into a second neural network for processing to obtain a named entity recognition result of the electronic medical record. The method has mobility, reduces the complex working degree of model construction, performs a named entity recognition task in the field with less annotation data, and has a good electronic medical record named entity recognition effect.

Description

technical field [0001] The invention belongs to the technical field of computers, and relates to a named entity recognition method of an electronic medical record based on a word pronunciation fusion feature model. Background technique [0002] With the vigorous development of my country's social economy and the improvement of people's living standards, people's health awareness is also increasing. How to use a large amount of medical data to build an intelligent medical system is an urgent need for the current society. Electronic medical records are the medical data texts with the largest amount of medical data and the most information, which has its unique professionalism. Many intelligent medical information systems are constructed based on information from electronic medical records. In the process of building intelligent medical information systems and systems, named entity recognition is the basis for the important task of information extraction from a large amount of...

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Application Information

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IPC IPC(8): G06F40/295G16H10/60G06N3/04
CPCG06F40/295G16H10/60G06N3/045
Inventor 史晟辉赵鑫
Owner BEIJING UNIV OF CHEM TECH
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