Traditional Chinese medicine syndrome diagnosis method and device based on deep learning and attention mechanism

Abstract

The invention discloses a traditional Chinese medicine syndrome diagnosis method and device based on deep learning and an attention mechanism. The method comprises the steps of obtaining medical record data with symptoms of a to-be-diagnosed patient; converting the medical record data into vector data; inputting the vector data into a trained traditional Chinese medicine syndrome diagnosis model,and outputting a diagnosis result. The traditional Chinese medicine syndrome diagnosis model comprises an attention mechanism module constructed by using a matrix mapping layer, an activation functiontan h and softmax, and a prediction deep neural network constructed by using a multilayer perceptron and an activation function sigmoid. The method comprises the following steps: firstly, performingone-hot coding mapping on medical record data with symptoms of a patient, and converting the medical record data into vector data; adopting a traditional Chinese medicine syndrome diagnosis model of amultilayer perceptron combining deep learning and supervised learning to diagnose the syndrome of a patient, so that the diagnosis and prediction accuracy of the traditional Chinese medicine syndromeof the patient can be improved.

Description

technical field [0001] The invention relates to the medical field of deep learning big data, in particular to a method and device for diagnosing TCM syndromes based on deep learning and attention mechanism. Background technique [0002] In recent years, researchers have conducted in-depth research and discussions on the curative effect of traditional Chinese medicine in treating various complex diseases. Many clinical practices and data have proved that traditional Chinese medicine has made amazing progress in reducing the activity and quantity of bacteria and viruses at the disease site, while improving the clinical symptoms and quality of life of patients. These advances are mainly due to the fact that TCM classifies disease patients into syndromes and adopts TCM treatment models and methods for treatment. The classification of TCM syndromes is a unique and important process in the diagnostic process of TCM, which aims to classify the overall functional status of each ind...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to overcome the difficulties in the prior art for suffering from various diseases, many and complex clinical symptoms, unable to accurately judge syndromes and determine appropriate treatment measures, aiming at improving the intelligent diagnosis of TCM syndromes ability, thus proposing a TCM syndrome diagnosis method and device based on deep learning and attention mechanism

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