Traditional Chinese medicine syndrome type identification method based on graph attention network
A recognition method and syndrome type technology, applied in biological neural network models, neural learning methods, character and pattern recognition, etc., can solve the problem of low accuracy of syndrome type recognition results, and achieve the effect of improving accuracy
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[0034] The specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes Within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are included in the protection list.
[0035] like figure 1 As shown, the TCM syndrome recognition method based on graph attention network includes the following steps:
[0036] S1. Standardize multiple medical case data, construct a training set, and use the medical case data belonging to the training set to establish corpus data for model training;
[0037] S2. Establish a symptom set for all non-repetitive symptoms in the corpus, establish a syndrome set for...
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