Method and device for multi-data source-oriented entity recognition of symptoms and signs
An entity recognition, multi-data source technology, applied in the field of medical entity recognition
Active Publication Date: 2019-09-17
易保互联医疗信息科技(北京)有限公司 +1
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Problems solved by technology
[0004] Embodiments of the present invention provide a multi-data source-oriented symptom and sign entity recognition method and device to solve the problem that current entity recognition schemes cannot accurately identify symptom and sign entities
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[0092] 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.
[0093] Such as figure 1 As shown, the embodiment of the present invention provides a multi-data source-oriented symptom and sign entity recognition method, including:
[0094] Step 101, acquire the sentences to be processed in the original data.
[0095] Step 102. Segment the sentence to be processed into individual characters, and determine each character in the sentence to be processed.
[0096] Step 103, according to the pre-trained CRF training model, de...
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The invention provides a multi-data source-oriented symptom and sign 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; according to a CRF training model finished by pre-training, 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 symptom and sign class term segmentation policy, performing term segmentation on the to-be-processed statement, and determining a second group of candidate entities; performing screening on the candidate entities to form a first group of symptom and sign class candidate entities and a second group of symptom and sign class candidate entities; and determining a symptom and sign class entity result according to a preset judgment policy.
Description
technical field [0001] The present invention relates to the technical field of medical entity recognition, in particular to a method and device for multi-data source-oriented entity recognition of symptoms and signs. 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, people's demand for medical services is getting higher and higher. And the contradiction between this and the relative shortage of medical resources is becoming more and more obvious. To realize the intelligent diagnosis and treatment of diseases, it is inseparable to identify the corresponding relationship between diseases and their symptoms and signs from medical big data. This process is the process of entity recognition of symptoms and signs. [0003] In recent years, as an important step in the analysis of medical and health data, medical entity recognition ...
Claims
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IPC IPC(8): G16H50/20G06F16/33G06F17/27
CPCG06F16/3331G06F40/284G16H50/20
Inventor 李雪莉关毅黄玉丽
Owner 易保互联医疗信息科技(北京)有限公司