ABSTRACT
ObjectiveTo construct the syndrome differentiation and treatment process in the diagnosis and treatment guideline into a visual knowledge graph using knowledge graph technology， and visualize the process from the input of clinical manifestations to the output of corresponding traditional Chinese medicine （TCM） diagnosis and prescriptions through programs， to visually display the diagnosis and treatment process as well as the data relationship for TCM practitioners. This paper facilitated the standardized and normalized TCM diagnosis and treatment of coronary heart disease， and provided technical support for the inheritance and promotion of TCM diagnosis and treatment. MethodNeo4j and py2neo were used to construct a knowledge graph based on the Guideline for Diagnosis and Treatment of Coronary Heart Disease with Stable Angina Pectoris published by China Association of Chinese Medicine Cardiovascular Disease Branch. A knowledge graph regarding the input of clinical manifestations was built through programs， visually displaying the standardized TCM diagnosis and treatment process of coronary heart disease with stable angina pectoris. ResultThe structured data were extracted from the guideline by py2neo connecting to Neo4j and imported into Neo4j to construct the knowledge graph of TCM diagnosis and treatment of coronary heart disease with stable angina pectoris， which had graph database query function. ConclusionAiming at the problems existing in the inheritance of TCM diagnosis and treatment， this paper proposed a diagnosis and treatment guideline integrating the experience of TCM experts and evidence-based evidence for coronary heart disease with stable angina pectoris， and realized the visualization process of knowledge graph based on TCM diagnosis and treatment guideline and the experience of TCM experts. It is helpful to intuitively display the whole TCM diagnosis and treatment process from symptom input to prescriptions and inherit TCM experience， providing a new paradigm for standardized and normalized TCM diagnosis and treatment.