Chinese herbal medicine recommendation system based on deep learning

Abstract

The invention relates to a Chinese herbal medicine recommendation system based on deep learning. The method comprises the following steps: by taking a public 'typhoid theory' data set which is widely accepted in the field of traditional Chinese medicine as a research object, establishing a standardized database through 'Multi-hot' code preprocessing on symptoms and traditional Chinese medicine prescription information; simulating an internal matching rule between a clinical symptom group and Chinese herbal medicines by using a convolutional neural network, designing a clinical traditional Chinese medicine prescription recommendation algorithm by using a Pytorch framework, and comparing with three traditional machine learning models including a support vector machine, a Bayesian classifier and logistic regression; therefore, the effectiveness and application value of the algorithm are explained from two dimensions of quantification and qualification. According to the method, Chinese herbal medicine prescriptions can be accurately recommended, and the method plays an important role in promoting traditional Chinese medicine diagnosis and treatment research based on artificial intelligence.

Description

technical field [0001] The invention belongs to the technical field of recommendation, and in particular relates to a Chinese herbal medicine recommendation system based on deep learning. Background technique [0002] With the leapfrog development of China's economy, the influence of Chinese culture in the world is gradually increasing, and the culture of traditional Chinese medicine as a representative of Chinese culture is also receiving more and more attention. [1] . Traditional Chinese medicine is a treasure of the Chinese nation, and it has a unique curative effect on the treatment of chronic diseases. A TCM prescription is a set of herbal medicines prescribed for disease treatment according to the patient's symptoms. The symptom set in the TCM prescription is called "symptom group", and the herbal medicine collection is called "herbal medicine group". literature [2] He pointed out that there are now more than 100,000 prescription records. In the field of traditiona...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a Chinese herbal medicine recommendation system based on deep learning, which simulates the diagnosis and treatment logic of "syndrome differentiation and treatment" and "state identification" in clinical diagnosis and treatment of Chinese medicine, realizes the automatic recommendation of Chinese medicine prescriptions from Chinese medicine diseases to Chinese herbal medicines, and solves the unique abstract diagnosis of Chinese medicine Complicated nonlinear problems such as thinking and differences in the compatibility of Chinese herbal medicines can more accurately recommend Chinese herbal medicine prescriptions, which has an important role in promoting the research of Chinese medicine diagnosis and treatment based on artificial intelligence

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