Training method and device of medical named entity recognition model, equipment and medium
A named entity recognition and training method technology, applied in the direction of instrumentation, electrical digital data processing, calculation, etc., can solve the problem of low training efficiency, achieve the effect of ensuring accuracy, improving labeling efficiency, and improving training efficiency
Pending Publication Date: 2021-11-30
PINGAN INT SMART CITY TECH CO LTD
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[0003] With the development of neural networks, entities in electronic medical records can be identified through medical named entity recognition models. However, when training medical named entity recognition models, it is generally necessary to manually mark entities in electronic medical records to generate a training set. , using the training set to train the medical named entity recognition model, the training efficiency is low
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[0052] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.
[0053]The embodiments of the present application can acquire and process related data based on artificial intelligence and digital medical technology. Among them, artificial intelligence (AI) is the theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge and use knowledge to obtain the best results. .
[0054] Artificial intelligence basic technologies generally include technologies such as sensors, dedicated arti...
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The invention relates to the technical field of artificial intelligence and digital medical treatment, and provides a training method and device of a medical named entity recognition model, equipment and a medium, and the method comprises the steps: carrying out the entity labeling of obtained text information through employing a pre-generated dictionary, obtaining a first entity and a first entity type, generating a reference labeling result; sending the text information and the reference marking result to an auditing end, receiving a second entity and a second entity category after the auditing end revises the first entity and the first entity category, and generating a training set; inputting the text information and the training set into a medical named entity recognition model for training; when it is determined that the target training result meets the requirement, completing the training of the medical named entity recognition model. According to the method, through a dictionary labeling and revision combination mode, the accuracy is ensured, the labeling efficiency is improved, and the training efficiency of the medical named entity recognition model is further improved.
Description
technical field [0001] The present application relates to the technical fields of artificial intelligence and digital medical care. Specifically, the present application relates to a training method, device, equipment and medium for a medical named entity recognition model. Background technique [0002] Named entity recognition technology is one of the important fields of natural language processing. Named entity recognition technology refers to the recognition of entities with specific meaning in text, mainly including names of people, places, institutions, and proper nouns. Simply put, it is to identify the boundaries and categories of entities in natural text. Named entity recognition is an important basic tool in application fields such as information extraction, question answering system, syntax analysis, machine translation, and metadata annotation for Semantic Web. It plays an important role in the process of natural language processing technology becoming practical. ...
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IPC IPC(8): G16H10/60G06F40/242G06F40/295
CPCG16H10/60G06F40/242G06F40/295Y02A90/10
Inventor 莫智文
Owner PINGAN INT SMART CITY TECH CO LTD