Information identification method and device based on Chinese medical records, equipment and storage medium

Abstract

The invention discloses an information identification method based on a Chinese medical record, and belongs to the field of natural language processing. The method comprises the following steps: identifying patient basic information contained in a Chinese medical record; identifying personal information contained in the basic information of the patient; outputting a feature vector corresponding tothe personal information according to a corresponding rule of the personal information and the feature vector; splicing the output feature vectors behind an initial vector used for representing eachword in the patient basic information to generate a vector set used for representing the patient basic information; and inputting the vector set into a trained model to extract personal information therein. According to the method, the personal information in the Chinese medical record is identified and converted into the feature vectors, so that the personal information extraction accuracy of themodel is improved.

Description

technical field [0001] The invention relates to the field of natural language processing, and relates to an information recognition method, device, equipment and storage medium based on Chinese medical records. Background technique [0002] At present, there is a great demand for the application of named entity recognition in medical cases, such as querying, searching, sorting, etc., in order to achieve the purpose of building medical knowledge base, medical knowledge graph and promoting medical automatic question answering. [0003] The effect of existing Chinese named entity recognition based on deep learning is difficult to improve, and it was previously applied to other languages, such as English. Because of the limitations of deep learning models and the differences in language characteristics between languages, this limits the application of named entity tasks in Chinese. And because of the differences between the general field, other fields and the medical field, its...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to overcome the problem of low accuracy of Chinese named entity recognition based on deep learning in the prior art, and propose a method, device, equipment and storage medium for information recognition based on Chinese medical records. The corresponding features of the text content in the Chinese cases are extracted and converted into feature vectors, and then the feature vectors are used as the input of the model to improve the accuracy of entity recognition

Images