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Multi-data source-oriented diagnosis and treatment entity recognition method and device

A technology of entity recognition and multiple data sources, applied in the field of medical entity recognition, can solve problems such as inaccurate recognition of diagnostic and treatment entities

Active Publication Date: 2019-12-06
易保互联医疗信息科技(北京)有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present invention provide a multi-data source-oriented diagnosis and treatment entity recognition method and device to solve the problem that the current entity recognition scheme cannot accurately perform diagnosis and treatment entity recognition

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  • Multi-data source-oriented diagnosis and treatment entity recognition method and device
  • Multi-data source-oriented diagnosis and treatment entity recognition method and device
  • Multi-data source-oriented diagnosis and treatment entity recognition method and device

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Embodiment Construction

[0093] 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 only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0094] Such as figure 1 As shown, the embodiment of the present invention provides a multi-data source-oriented diagnosis and treatment entity recognition method, including:

[0095] Step 101, acquire the sentences to be processed in the original data.

[0096] Step 102. Segment the sentence to be processed into individual characters, and determine each character in the sentence to be processed.

[0097] Step 103, according to the pre-trained CRF training mo...

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Abstract

The invention provides a multi-data-source-oriented diagnosis and treatment class entity identification method and apparatus, and relates to the technical field of medical entity identification. The method comprises the steps of obtaining a to-be-processed statement in original data; performing single word segmentation on the to-be-processed statement, and determining each text in the to-be-processed statement; according to a pre-trained CRF training model, determining an entity mark, in the to-be-processed statement, of each text in the to-be-processed statement, and determining an entity mark sequence of the to-be-processed statement; according to the entity mark sequence of the to-be-processed statement, determining a first group of candidate entities of the to-be-processed statement; according to a preset diagnosis and treatment class term segmentation policy, performing term segmentation on the to-be-processed statement, and determining a second group of candidate entities; screening the candidate entities to form a first group of candidate diagnosis and treatment class entities and a second group of candidate diagnosis and treatment class entities; and according to a preset judgment policy, determining a diagnosis and treatment class entity result in the first group of the candidate diagnosis and treatment class entities and the second group of the candidate diagnosis and treatment class entities.

Description

technical field [0001] The invention relates to the technical field of medical entity recognition, in particular to a multi-data source-oriented diagnosis and treatment entity recognition method and device. Background technique [0002] At present, with the development of network and medical information technology, the gradual aging of the Chinese population, and the gradual rise of Internet medical care, big data in the medical and health industry has also been generated one after another. In the actual clinical diagnosis and treatment process, a large amount of diagnosis and treatment information is generated every day. The utilization and research of these diagnosis and treatment information play an important role in fields such as medical statistics, scientific research, teaching, and medical management. Due to the massive quantity and various structures of medical information, it is almost impossible to identify medical information only by human power, and then conduct ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H50/70G06F17/27
CPCG06F40/295
Inventor 李雪莉黄玉丽关毅
Owner 易保互联医疗信息科技(北京)有限公司