Traditional Chinese medicine intelligent inquiry tongue diagnosis comprehensive system based on syndrome elements and deep learning

Abstract

The invention provides a traditional Chinese medicine intelligent inquiry tongue diagnosis comprehensive system based on syndrome elements and deep learning. Symptom information inputted by a patientis analyzed according to a preset knowledge graph based on the syndrome elements of symptoms; based on a symptom analysis result, whether inquiry needs to be performed or not is judged; if the judgment result is that inquiry needs to be conducted, traditional Chinese medicine inquiry is conducted through syndrome elements and a deep learning network model, and according to answers of the patient,the syndrome and / or syndrome elements of the patient are / is obtained; whether tongue diagnosis is combined or not is judged, if yes, the result of the inquiry module enters a tongue diagnosis combination module, and the final syndrome and / or syndrome element are / is obtained; otherwise, a result obtained by inquiry is taken as a final syndrome and / or syndrome element; when an interrogation judgmentmodule judges that interrogation is not needed or the tongue diagnosis judgment module judges that tongue diagnosis needs to be combined, symptoms and tongue image information of the patient are combined based on the syndrome element and the deep learning network model to obtain a final syndrome and / or syndrome element. The inquiry effect can be greatly improved, and powerful support is providedfor syndrome differentiation and typing.

Description

technical field [0001] The present disclosure relates to the technical field of TCM interrogation system, in particular to a TCM intelligent interrogation tongue diagnosis system based on syndrome elements and deep learning. Background technique [0002] The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art. [0003] TCM consultation is the core of the four diagnostic methods of TCM: looking, smelling, asking, and focusing. TCM doctors need to ask patients some questions in a targeted manner based on the symptoms described by patients, combined with TCM knowledge and their own medical experience, so as to quickly determine the syndrome And the purpose of dialectical typing. At present, the automatic consultation system is mainly based on theories such as the TCM constitution identification questionnaire and the ten-question song of TCM. It asks a large number of similar questions t...

AI Technical Summary

Problems solved by technology

At present, most artificial intelligence-assisted diagnosis and treatment systems of traditional Chinese medicine only treat tongue images as symptoms, or assign different weights to tongue images and symptoms in the process of syndrome differentiation, and do not combine TCM theory and experience with mathematical models In-depth exploration of the relationship between tongue images and symptoms in different situations

[0005] The inventors of the present disclosure found that the existing TCM interrogation technology has the following defects: (1) At the present stage, it is based on the theory of TCM constitution identification questionnaire, TCM ten-question song, etc. In the TCM automatic consultation system, the question homogeneity is serious, that is, the questions asked by different patients are basically the same (occasionally there are slight differences according to gender and age), and it is impossible to conduct targeted TCM consultation according to the patient's symptoms. Patient experience is poor

(2) At present, the automatic consultation system of traditional Chinese medicine on the market asks a large number of questions to patients. Because the questions asked are too many and not targeted, patients are easily misled by the questions in the process of answering and provide disturbing information, thereby affecting the consultation. effect, unable to provide strong evidence for dialectical typing

In addition, the current automatic consultation system of traditional Chinese medicine does not combine the symptoms of patients with the experience of famous Chinese medicine experts to provide ideas and directions for consultation, which affects the effect of consultation

(3) The relationship between tongue image and symptoms is very complicated in the field of TCM. If the tongue image is treated as a symptom, it will not be able to highlight the role of tongue diagnosis in the process of TCM diagnosis and treatment, thus affecting the results of TCM diagnosis

(4) The current artificial intelligence-assisted diagnosis and treatment system of traditional Chinese medicine does not use artificial intelligence technology to mathematically model the relationship between tongue images and symptoms in different situations, nor does it provide different combinations based on the experience of famous old Chinese medicine practitioners, which affects the diagnosis of traditional Chinese medicine the result of

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