Study on construction and application of knowledge graph of TCM diagnosis and treatment of viral hepatitis B

Viral hepatitis B has become a worldwide public problem since it was discovered in the sera of Australian aboriginals in the 1960s. In addition, viral hepatitis B has the characteristics of a long course, difficult to cure, and recurring attacks. At present, western medicine adopts symptomatic treatment strategies including antiviral, liver protection and enzyme reduction, yellowing and improvement of body immunity, etc. However, long-term use of antibiotics is prone to drug resistance and adverse reactions to the kidneys. Compared with Western medicine’s symptomatic treatment strategies, Chinese medicine prescriptions, such as Yinchenhao Decoction, Sini San, Ganlu Xiaodu Dan, etc., have the characteristics of multi-flavored Chinese medicine and multi-component synergistic effect, simultaneously targeting multiple targets and multiple pathways. It is easier to get wide affirmation from clinicians and patients. As a manifestation of physicians’ clinical experience, clinical electronic medical records include a large amount of effective diagnosis and treatment knowledge, which is a valuable source of knowledge for clinical decision-making assistance. The entity uniqueness and relationship display of the knowledge map are consistent with the characteristics of traditional Chinese medicine knowledge that need to be named uniformly and emphasize the relationship. Using the knowledge map as the organizational form of traditional Chinese medicine knowledge will be able to well present the overall network of knowledge, and in the knowledge The function of clinical decision-making assistance is realized under the support of reasoning. This article takes viral hepatitis B as an example, carries out effective knowledge extraction from hepatitis B electronic medical record data, merges to form structured knowledge, and constructs a knowledge map of traditional Chinese medicine diagnosis and treatment of hepatitis B. Driven by the rules of knowledge reasoning, it provides knowledge support for intelligent diagnosis and treatment, auxiliary analysis, and decision support; summarizes and displays the experience of Chinese medicine diagnosis and treatment, so that inexperienced doctors can better learn and inherit.