Consultation method based on traditional Chinese medicine clinical medical knowledge base and deep learning model
A technology of deep learning and knowledge base, which is applied in the field of consultation based on TCM clinical medical knowledge base and deep learning model, to improve accuracy and save time
Inactive Publication Date: 2021-08-13
南京大经中医药信息技术有限公司
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Problems solved by technology
[0005] At present, although the existing consultation process can make targeted questions for different departments or diseases, there is no way to make personalized questions according to the individual characteristics of patients and the time of onset
Method used
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Embodiment 1
[0101] 1. The patient fills in basic information such as gender, age, time of onset, and disease / department-related information. The system uses a recommendation algorithm model based on deep learning to recommend Top 10 or a recommendation degree greater than Symptoms with a certain threshold, and then match the words of these symptoms in the knowledge base, and return these words to the patient. The patient answers the questions, from which the relevant symptoms are captured.
[0102] Among them, the recommendation model of deep learning adopts the double tower (deep neural network) DNN model. Before the model training, the medical record data in the medical knowledge base needs to be processed.
[0103] Medical record data includes information such as age, gender, season of onset, registered department, disease symptoms, etc. The medical record data is divided into two parts, which are respectively applied to the patient side and the symptom side of the double-tower DNN mo...
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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.
Description
technical field [0001] The invention belongs to the field of artificial intelligence, in particular to an inquiry method based on a traditional Chinese medicine clinical medical knowledge base and a deep learning model. Background technique [0002] "Watching, smelling, asking, and feeling" is a characteristic diagnosis method of Chinese medicine, and "asking" is an important link in clinical diagnosis and diagnosis of diseases. TCM consultation is a method for doctors to understand the condition by purposefully inquiring patients or accompanying persons, especially to understand the subjective feelings of the patient's body at that time. A lot of information about the patient's physical condition can be obtained through interrogation, such as the patient's subjective symptoms, disease process, treatment process, daily life, usual physique, past medical history, family medical history, and other conditions related to the disease. occupied an important position. [0003] Af...
Claims
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Login to View More IPC IPC(8): G16H50/20G16H50/70G16H70/00G06K9/62G06N3/04G06N3/08G06N5/02
CPCG16H50/20G16H50/70G16H70/00G06N3/08G06N5/025G06N3/047G06F18/2415G06F18/241
Inventor 李文友赵静沈星李为州陈莹
Owner 南京大经中医药信息技术有限公司