Entity recognition method and device based on deep learning model, equipment and medium

A technology of entity recognition and deep learning, applied in the field of entity recognition based on deep learning model, can solve the problems of inability to recognize disease entities and low accuracy of disease entity recognition.

Pending Publication Date: 2020-12-01
PING AN TECH (SHENZHEN) CO LTD
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0005] The present invention provides an entity recognition method, device, equipment and medium based on a deep learning model to solve the problem in the prior art that discontinuous and juxtaposed disease entities in medical texts cannot be recognized, resulting in low accuracy of disease entity recognition

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  • Entity recognition method and device based on deep learning model, equipment and medium
  • Entity recognition method and device based on deep learning model, equipment and medium
  • Entity recognition method and device based on deep learning model, equipment and medium

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Embodiment Construction

[0029] 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 some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0030] The entity recognition method based on the deep learning model provided by the embodiment of the present invention can be applied in such as figure 1 In an application environment in which a terminal device communicates with a server through a network. The server obtains the medical text to be recognized in the terminal device, and inputs the medical text to be recognized into the preset entity recognition model, the preset entity recognition mo...

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Abstract

The invention relates to the technical field of artificial intelligence, relates to the technical field of blockchain, and is applied to the intelligent medical field; the invention discloses an entity recognition method and device based on a deep learning model, equipment and a medium. The method comprises the steps of obtaining a to-be-recognized medical text; inputting the to-be-recognized medical text into a preset entity recognition model, wherein the training set of the preset entity recognition model is a medical text training set marked by disease entities mentioned in different modesin the medical texts, obtaining an entity recognition result output by the preset entity recognition model, taking the entity recognition result as the disease entity mentioned in the medical text tobe recognized, and outputting the disease entity; according to the invention, disease entity labeling and recalling are carried out on the training set, and the preset entity recognition model is established in a recalling and natural language reasoning mode, so that the preset entity recognition model can effectively recognize discontinuous and parallel disease entities from the to-be-recognizedmedical text, and the accuracy of disease entity recognition is improved.

Description

technical field [0001] The present invention relates to the field of smart medical technology, in particular to an entity recognition method, device, equipment and medium based on a deep learning model. Background technique [0002] Knowledge graphs are currently one of the most popular applications in the field of natural language, and can be applied to many fields such as intelligent question answering and search engines. In the medical field, constructing a medical knowledge map can build a database of the intricate relationship between diseases and diagnosis and treatment methods through the knowledge map, which can provide good auxiliary diagnostic methods for medical staff. The construction of medical knowledge graphs needs to automatically obtain the disease entities involved in the text from unstructured medical texts, and then complete the construction of medical knowledge graphs based on disease entities and their related relationships. [0003] In the existing te...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F40/279
CPCG06F40/279
Inventor 何义龙朱威
Owner PING AN TECH (SHENZHEN) CO LTD
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