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Chinese electronic medical record named entity extraction method and system

A technology of named entities and electronic medical records, which is applied in the fields of electronic digital data processing, special data processing applications, instruments, etc., and can solve problems such as methods and systems for optimizing medical named entity recognition and extraction from electronic medical records of rare diseases.

Active Publication Date: 2019-07-19
TSINGHUA UNIV
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  • Abstract
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AI Technical Summary

Problems solved by technology

At present, there is no method and system for medical named entity recognition and extraction specially optimized for rare disease electronic medical records

Method used

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  • Chinese electronic medical record named entity extraction method and system
  • Chinese electronic medical record named entity extraction method and system
  • Chinese electronic medical record named entity extraction method and system

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Embodiment Construction

[0072] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention:

[0073] figure 1 Schematically shows the flow of the Chinese electronic medical record named entity extraction method of the present invention, figure 2 Shows the structure of the named entity extraction system in the present invention, the system implements as figure 1 process shown. Such as figure 2 The shown (Chinese electronic medical records) named entity extraction system includes: an initialization unit 10, an adaptive unit 20, and a decoding unit 30, wherein the adaptive unit 20 includes: an LSTM processing module 21, a grid coding module 22, and a weight analysis module twenty three. In the present invention, each step of the method is implemented by executing a computer program through the processor of the terminal device, that is, the functions of ea...

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Abstract

The invention discloses a Chinese electronic medical record named entity extraction method and system. The method comprises the following steps: mapping each word in an input statement into a vector through a character embedding layer; inputting the character sequence by adopting an LSTM model to obtain an implicit representation vector; taking each word as the last word of the semantic unit withthe word as the end, and carrying out semantic segmentation to obtain all grid codes corresponding to the word; carrying out linear combination on all grid codes of each character to obtain a final vector of each character, wherein a weight in the linear combination is given by a self-attention mechanism; taking a deep residual network as an output decoding layer to decode a named entity chain. According to the Chinese electronic medical record named entity extraction method and system, various medical named entities can be automatically extracted from the Chinese electronic medical record, the extraction efficiency is improved, and the labor consumption in a medical record structuralization process is avoided.

Description

technical field [0001] The invention belongs to the technical field of medical text data mining, in particular to a method and system for extracting named entities from Chinese electronic medical records, especially for the identification and extraction of medical named entities in Chinese electronic medical records for a rare disease called multiple system atrophy . Background technique [0002] On the one hand, in recent years, hospitals at all levels in my country have gradually adopted electronic medical record management systems to replace traditional handwritten medical records, thus accumulating more and more electronic medical records. In conventional electronic medical records, the main carrier of information is natural language, such as imaging reports, medication records, disease course reports, and case examination reports. It can be said that these natural language texts contain the main clinical information in the process of patient diagnosis and treatment. O...

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Application Information

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IPC IPC(8): G06F17/27
CPCG06F40/295G06F40/30
Inventor 江瑞黄浩
Owner TSINGHUA UNIV
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