Traditional Chinese medicine auxiliary diagnosis system

Abstract

The invention discloses a traditional Chinese medicine auxiliary diagnosis system. The system comprises a data acquisition module used for acquiring a traditional Chinese medicine diagnosis text and acorresponding disease and constructing a training set; a model construction module used for respectively training the bidirectional LSTM network and the BERT network according to the training set, and constructing a traditional Chinese medicine auxiliary diagnosis model according to the trained bidirectional LSTM network and BERT network; and a disease prediction module used for predicting the to-be-detected traditional Chinese medicine diagnosis text according to the traditional Chinese medicine auxiliary diagnosis model and outputting a predicted disease. A traditional Chinese medicine auxiliary diagnosis model is constructed in combination with a bidirectional LSTM network and a BERT network, the problems that traditional Chinese medicine professional vocabulary expression is limited in traditional Chinese medicine diagnosis data and contextual information in traditional Chinese medicine texts cannot be fully utilized are solved, and corresponding diseases are predicted and diagnosed according to traditional Chinese medicine clinical symptoms.

Description

technical field [0001] The invention relates to the technical field of medicine, in particular to an auxiliary diagnosis system of traditional Chinese medicine. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] TCM of traditional Chinese medicine can be used as a supplementary therapy of modern medicine. In the diagnosis of traditional Chinese medicine, doctors of traditional Chinese medicine analyze the corresponding syndromes of patients, and make differential diagnosis according to the information obtained by the four diagnostic methods of traditional Chinese medicine. However, due to the ambiguity and subjectivity of traditional Chinese medicine diagnosis In the process of diagnosis and reasoning, misdiagnosis is prone to occur, which affects the accuracy of manual diagnosis of traditional Chinese medicine; for this reason, an intelligen...

AI Technical Summary

Problems solved by technology

[0007] In order to solve the above problems, the present invention proposes a TCM auxiliary diagnosis system, which combines a bidirectional LSTM network and a BERT network to construct a TCM auxiliary diagnosis model to solve the problem of limited expression of TCM professional vocabulary in TCM diagnostic texts and insufficient context information in TCM texts. Problems that can be fully utilized to realize the prediction and diagnosis of corresponding diseases based on clinical symptoms of traditional Chinese medicine

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