Consultation method based on traditional Chinese medicine clinical medical knowledge base and deep learning model

The invention provides a consultation method based on a traditional Chinese medicine clinical medical knowledge base and a deep learning model. The traditional Chinese medicine clinical medical knowledge base is constructed, and through a deep learning algorithm and correlation analysis and in combination with the traditional Chinese medicine clinical medical knowledge base, symptoms with high correlation are recommended to patients suffering the corresponding diseases or of related departments according to individual features, morbidity seasons, registration departments and diseases of the patient, so that the patients are guided to supplement the symptoms with important significance on traditional Chinese medicine clinical diagnosis; meanwhile, each symptom in the traditional Chinese medicine clinical medical knowledge base is matched with a corresponding question for the patients to answer, so that the accuracy of a recommendation result is improved. The method solves the problem that it is difficult to effectively obtain key symptoms through consultation in the current traditional Chinese medicine consultation process, and optimizes the consultation process.