The invention discloses a
traditional Chinese medicine diagnosis question and answer based on
deep learning, and relates to the technical field of
traditional Chinese medicine, and the method comprises the steps: remotely obtaining tongue condition information, pulse condition information,
complexion diagnosis information and
auscultation information of a patient; the color and state of the patient can be remotely observed; the
disease condition of the patient is obtained through language communication; wherein the
disease conditions of the patient comprise
consciousness symptoms, the incidence process, the treatment course, the daily life, the plain physique, the
past medical history and the family
medical history; constructing a diagnosis and treatment
knowledge graph by analyzing related
traditional Chinese medicine literatures and medical case contents; wherein the medical case content comprises the
disease condition, tongue condition information, pulse condition information,
complexion diagnosis information and
auscultation information of the patient; and in combination with
syndrome type classification of a traditional Chinese
medicine theory, analyzing the constructed disease condition
knowledge graph by using a
deep learning model so as to intelligently classify and diagnose the disease condition of the patient.