Text connotation quality evaluation method and device, equipment and storage medium

Abstract

The invention relates to the field of artificial intelligence, and discloses a text connotation quality evaluation method, which is used for improving the accuracy of text connotation quality evaluation and improving the model training efficiency. The text connotation quality evaluation method comprises the steps of obtaining an initial text from a preset medical record text; processing the initial text through a natural language processing algorithm to obtain a target text; performing text coding on the target text through a preset word bag model and a preset automatic coding model to obtaina first text feature; feature extraction is carried out on the target text to obtain second text features, and the second text features comprise text complexity features, text grammar style features and medical semantic features; and performing evaluation processing on the first text feature and the second text feature through the trained logistic regression model to obtain an evaluation result which is used for identifying the content quality grade of the preset medical record text. The invention also relates to a blockchain technology, and the target text is stored in the blockchain.

Description

technical field [0001] The invention relates to the field of machine learning of artificial intelligence, in particular to a method, device, equipment and storage medium for evaluating the quality of text connotation. Background technique [0002] The medical record system records the occurrence, development, diagnosis and treatment of patients' diseases, and the quality control of medical records is an important part of the hospital's medical quality management. The quality control of medical records is generally carried out by professional quality control personnel to evaluate the quality of medical records manually. However, there are generally problems of insufficient professional quality control personnel, manual medical record quality control consumes a lot of energy, and has low efficiency. [0003] With the popularization of electronic medical record system in hospitals, electronic medical records have gradually replaced hand-written medical records, making the coll...

AI Technical Summary

Problems solved by technology

[0005] The main purpose of the present invention is to solve the technical problem that the connotation inspection based on manually set rules leads to low accuracy in evaluating the quality of text connotation, and the existing text connotation quality control system has the technical problem that model training takes a long time

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