ABSTRACT
Objective To build a knowledge graph;To visualize the knowledge structure relationships and clinical thinking in the treatment of coronary heart disease by renowned TCM doctors;To provide methodological reference for the inheritance of experience of renowned TCM doctors.Methods Medical records about treatment of coronary heart disease by renowned TCM doctors were retrieved from CNKI from the establishment of the database to 30th,Nov.2022.The characteristics of TCM diagnosis and treatment and the characteristics of the theoretical system of syndrome differentiation and treatment in TCM were analyzed.Concept types and relationships between concepts were sorted out and extracted to form a pattern layer of knowledge graph;based on the characteristics of the pattern layer,Python 3.11(PyCharm 2022.3.2)was used to write rules,and knowledge extraction and data import were implemented through the Pandas library,Openpyxl library and Py2neo library,which were stored in the graph database Neo4j-Community-5.2.0 to complete the construction of the knowledge graph.Implementing query application was realized through Cypher language.Results The data of 643 medical cases of 144 renowned TCM doctors were included,which were entered into the Neo4j graph database,forming a knowledge graph consisting of 2 744 nodes and 23 795 relationships under 8 concepts and 10 relationships,to achieve visual presentation and query application of the diagnosis and treatment process of coronary heart disease by renowned TCM doctors.Conclusion The knowledge graph can intuitively display the relationship of diseases-symptoms-syndromes-treatments-prescriptions-medicine in medical records,develop a knowledge system that is easy to retrieve,and improve the accessibility of domain knowledge,which can provide methodological reference for the inheritance of experience of renowned TCM doctors.
ABSTRACT
It states Pro.Fan Yongsheng’s experiences in treating urticaria from such points as causa morbi,pressing or otherwise disease condition and clinical diagnosis and treatment.