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Standard symptom extraction method and device, electronic equipment and a storage medium

A standard symptom and symptom technology, applied in the field of natural language processing, can solve problems such as poor accuracy, achieve the effect of improving accuracy, reducing outrageous rate, and avoiding merger and regularization

Active Publication Date: 2020-09-04
讯飞医疗科技股份有限公司 +1
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0004] The embodiment of the present invention provides a standard symptom extraction method, device, electronic equipment and storage medium to solve the problem of poor accuracy of the existing standard symptom extraction method

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  • Standard symptom extraction method and device, electronic equipment and a storage medium
  • Standard symptom extraction method and device, electronic equipment and a storage medium
  • Standard symptom extraction method and device, electronic equipment and a storage medium

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Embodiment Construction

[0040] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. 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.

[0041] With the popularization of medical electronic medical records, medical electronic medical records contain rich information such as patient complaints, current medical history, past history, physical examination, age and gender, etc., which play a key role in the process of doctor diagnosis and treatment. Among them, the symptom information ...

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Abstract

The embodiment of the invention provides a standard symptom extraction method and device, electronic equipment and a storage medium. The method comprises the steps of determining a medical record textof a to-be-extracted standard symptom; extracting medical record symptom region characteristics of the medical record text, and performing standard symptom extraction based on the medical record symptom region characteristics of the medical record text and the standard symptom characteristics of each standard symptom to obtain a standard symptom extraction result corresponding to the medical record text, wherein the standard symptom characteristics of each standard symptom are determined based on a knowledge graph. According to the standard symptom extraction method and device, the electronicequipment and the storage medium provided by the embodiment of the invention, the accuracy of standard symptom extraction is improved, and meanwhile, the spectrum departure rate of a standard symptomextraction result is also reduced.

Description

technical field [0001] The present invention relates to the technical field of natural language processing, in particular to a standard symptom extraction method, device, electronic equipment and storage medium. Background technique [0002] With the rapid development of deep learning technology, medical record structuring methods based on deep learning emerged as the times require. Among them, the symptom information contained in the medical record is important information for diagnosing the disease suffered by the patient. Therefore, by extracting structured standard symptom information from unstructured medical records, it can play a key role in downstream tasks such as auxiliary diagnosis and treatment and medical record quality control. [0003] At present, the standard symptom extraction methods for medical records mainly include two types: the extraction method based on Conditional Random Field (CRF), and the extraction method based on the Encoder-Decoder model. How...

Claims

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Application Information

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IPC IPC(8): G16H50/70G16H70/00G06F40/126G06F40/284G06F40/30G06N3/04G06N3/08
CPCG16H50/70G16H70/00G06F40/126G06F40/284G06F40/30G06N3/049G06N3/08Y02A90/10
Inventor 甘露肖飞胡加学赵景鹤贺志阳
Owner 讯飞医疗科技股份有限公司
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