Electronic medical record text named entity recognition method based on pre-trained language model

Abstract

The invention belongs to the technical field of medical information data processing, and particularly relates to an electronic medical record text named entity recognition method based on a pre-training language model, which comprises the following steps: collecting an electronic medical record text from a public data set as an original text, and preprocessing the original text; labeling the preprocessed original text entity based on the standard medical term set to obtain a labeled text; inputting the annotation text into a pre-training language model to obtain a training text represented bya word vector; constructing a BiLSTM-CRF sequence labeling model, and learning the training text to obtain a trained labeling model; and taking the trained labeling model as an entity recognition model, and inputting a test text to output a labeled category label sequence. According to the method, text features and semantic information in the deep language model are obtained through training in the super-large-scale Chinese corpus, a better semantic compression effect can be provided, the problem that manual annotation is tedious and complex is avoided, the method does not depend on dictionaries and rules, and the recall ratio and accuracy of named entity recognition are improved.

Description

technical field [0001] The invention belongs to the technical field of medical information data processing, and in particular relates to a named entity recognition method of electronic medical record text based on a pre-trained language model. Background technique [0002] Case history is a record of medical activities such as inspection, diagnosis, and treatment by medical personnel on the occurrence, development, and outcome of patients' diseases. A written patient medical record is required. With the development of computer and Internet technology, most hospitals have realized the electronicization of clinical medical records. Electronic medical records use electronic equipment to record, save, manage, transmit and reproduce digital medical records, which are safe, reliable and convenient for recording and storage. , sharing and other advantages. The application of electronic medical records can not only provide the most practical and abundant data for health management...

AI Technical Summary

Problems solved by technology

[0005] Therefore, the technical problem to be solved by the present invention is to overcome the limited accuracy and recall of existing named entity recognition methods and the cumbersome and complicated defects, thereby providing a fast and simple pre-trained language-based Model-Based Named Entity Recognition Method for Electronic Medical Record Text

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