Method and device for extracting structural relationship of coronary artery medical report

A medical report and relationship extraction technology, applied in the field of medical text recognition, can solve the problem of low accuracy

Active Publication Date: 2021-09-14
浙江卡易智慧医疗科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention mainly solves the problem of low accuracy in structural recognition and extraction of unstructured medical report texts in the existing technology; it provides a method and device for extracting structural relations in coronary medical reports, which can extract a large number of existing unstructured medical reports. Structured coronary medical reports improve the accuracy of entity recognition and reduce time and labor costs

Method used

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  • Method and device for extracting structural relationship of coronary artery medical report
  • Method and device for extracting structural relationship of coronary artery medical report
  • Method and device for extracting structural relationship of coronary artery medical report

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Embodiment

[0044] Embodiment: a device for extracting structural relationship of coronary medical report, such as Figure 5 As shown, it includes a preprocessing module 1, which is used to vectorize the description text of the coronary artery report. The preprocessing module is connected to the front end or database, and obtains detailed report description through the front end or accessing database resources.

[0045]Typo correcting module 2, is used for carrying out typo correcting processing to description text, is connected with preprocessing module; Typo correcting module of the present invention adopts Soft-Masked BERT model frame, as figure 2 As shown, it consists of three parts: DetectionNetwork, Soft Masking Connection, and Correction Network. Detection Network is an error detection network, which uses a bidirectional GRU model to encode the input and judge whether each character is a typo; SoftMasking Connection contacts the full text and checks all The weight of the character...

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Abstract

The invention discloses a method and device for extracting the structural relationship of a coronary artery medical report. The method comprises the following steps: s1, obtaining a coronary artery report description text, and carrying out the data preprocessing of the obtained text; s2, correcting wrongly written characters of the pre-processed text, and performing normalization processing; s3, recognizing medical entities in the text according to the normalized text, and segmenting the text into a plurality of entity texts; s4, performing entity relationship extraction on the entity text according to the structured extraction rule to form a structured relationship path diagram; s5, verifying the structured relation path diagram and acquiring an output result of the coronary artery medical report structural relation. According to the method, the accuracy of entity recognition is improved through a wrong character correction and text normalization method; therefore, the high-accuracy entity relationship extraction is realized by constructing a chain structure between entities.

Description

technical field [0001] The invention relates to the technical field of medical text recognition, in particular to a method and device for extracting structural relations of coronary medical reports. Background technique [0002] With the development of big data technology and artificial intelligence, people's demand for structured data is getting higher and higher, and there are a large number of unstructured diagnostic report data in the medical field that are difficult to use. Development creates bottlenecks. Structured medical data can play a very important role in various fields of the medical industry. Medical data will play a very important role in various fields of the medical industry. For hospital clinics, it can be supported by a large amount of data for clinical auxiliary decision-making. For doctors' research, it can allow doctors to use a larger amount of data to carry out scientific research cooperation. [0003] The existing technology achieves the purpose...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H15/00G06F16/33G06F16/36G06F40/295G06N3/04G06N3/08
CPCG16H15/00G06F16/3335G06F16/3344G06F16/367G06F40/295G06N3/08G06N3/044
Inventor 林坚叶金德林铭强陈集房麻元兴
Owner 浙江卡易智慧医疗科技有限公司
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