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SNOMED-CT-based medical noun dictionary construction and expansion method

A dictionary and noun technology, applied in the field of medical system data processing, can solve the problem of not completely covering vocabulary, and achieve the effect of improving speed and accuracy

Inactive Publication Date: 2020-07-28
福州数据技术研究院有限公司
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AI Technical Summary

Problems solved by technology

Due to the diversity of languages, the existing standardized vocabulary cannot fully cover most of the words that appear in the text.

Method used

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  • SNOMED-CT-based medical noun dictionary construction and expansion method
  • SNOMED-CT-based medical noun dictionary construction and expansion method
  • SNOMED-CT-based medical noun dictionary construction and expansion method

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Embodiment Construction

[0048]In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of this application, not all of them. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

[0049] The technical solution in this application will be described below with reference to the accompanying drawings.

[0050] In order to solve the problems of multiple expressions, abbreviations, and abbreviations of the same concept. The present invention aims at constructing a dictionary of basic medical terms with a wider coverage. As the first part of natural language processing, i...

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Abstract

The invention discloses an SNOMED-CT-based medical noun dictionary construction and expansion method. The method comprises the steps of performing Chinese word segmentation on a target text to obtainwords in each sentence; secondly, analyzing sentences of the segmented words by utilizing a semantic dependency algorithm so as to obtain noun phrases; finally, taking an existing normalized medical dictionary SNOMED-CT as a basis to be compared with the medical phrases extracted from the text, screening the candidate noun phrases through predefined similarity, wherein the selected noun phrases are regarded as new medical noun phrases, and therefore the dictionary is formed. According to the method, the problems of multi-expression, abbreviation, abbreviation and the like of the same concept are solved, and a basic medical term dictionary with wider coverage is constructed. The method serves as the first part of natural language processing, and can improve the speed and precision of subsequent named entity recognition, relation extraction, entity alignment and other tasks.

Description

technical field [0001] The invention relates to the technical field of medical system data processing, in particular to a method for constructing and expanding a medical term dictionary based on SNOMED-CT. Background technique [0002] Medical staff can triage through the medical records, confirm the follow-up examinations, diagnose the disease, and judge the final treatment required. However, at present, my country has multiple problems in the medical industry. The most urgent ones are the shortage of medical personnel, uneven distribution of medical resources, and a large number of misdiagnosed cases. In clinical care alone, an average of 57 million cases are misdiagnosed each year, and the total misdiagnosis rate is as high as 27.8%. [0003] At present, in the process of diagnosis, there are a large number of medical records that need to be read, understood, analyzed and finally judged manually. With the increasing number of patients and the continuous improvement of th...

Claims

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Application Information

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IPC IPC(8): G06F16/36G06F16/35G06F40/126G06K9/62G16H70/00
CPCG06F16/374G06F16/35G16H70/00G06F18/22
Inventor 江瑞傅卓然陈福沨
Owner 福州数据技术研究院有限公司
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