Generative adversarial network technology-based medical text generation method

Abstract

The invention discloses a generative adversarial network technology-based medical text generation method. The method comprises the following steps of downloading multiple medical documents of a fieldwhich a department belongs to; representing words in the medical documents by utilizing word vectors; performing text classification on the medical documents, and reserving the required medical documents; obtaining optimal output sequence tags of the required medical documents; obtaining indexes of keyword sets of the required medical documents, and randomly disordering the indexes to obtain new medical documents and corresponding sequence tags; performing training by adopting a generative adversarial network-based generative model to generate medical texts; outputting the generated medical texts; obtaining BLEU parameters of the generated medical texts; and assessing the generated medical texts to finally obtain target medical texts. By disordering data to generate the new medical texts,the problems of patient privacy security and relatively few medical texts are solved.

Description

technical field [0001] The invention relates to the field of data mining of medical texts, in particular to a method for generating medical texts based on generative confrontation network technology. Background technique [0002] At present, researchers have applied new methods such as artificial intelligence and machine learning to medical text data, and while obtaining some good results, they have also encountered some problems, such as: [0003] (1) Lack of data. The data of medical texts, especially the data of some rare diseases and severe diseases is seriously insufficient, which will cause the failure of machine learning and other methods in the training and learning stage, and cannot reflect the information of these diseases correctly, truthfully and comprehensively. [0004] (2) Privacy and security. How to protect privacy and security has always been a hot spot of concern. For example, a former mayor of Indiana was suddenly found to be infected with a vicious in...

AI Technical Summary

Problems solved by technology

[0010] The purpose of the present invention is to provide a medical text generation method based on generative confrontation network technology, which generates new medical texts by disrupting data and simulating them for training, learning and testing in machine learning, data mining, artificial intelligence and other methods Use, solve the patient privacy security issues that may be involved in medical texts, and solve the problem of lack of medical texts

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