Construction method for traditional Chinese medicine knowledge map

Abstract

The invention discloses a construction method for a traditional Chinese medicine knowledge map and relates to the fields of medical big data and knowledge map technologies. Through the method, the problems that existing traditional Chinese medicine knowledge map technologies are inconsistent in evaluation standard, and obtained conclusions have redundancy or cannot be interpreted with traditional compatibility theories are solved. According to the method, knowledge elements and a sample relation are mined and extracted from traditional Chinese medicine literature and texts, the knowledge elements and the sample relation are converted into a directed network vector model through a deep learning machine, a directed/undirected network of the relation is made to visually display a knowledge map model, and then visual output is performed by means of the knowledge map and a knowledge reasoning network. On the basis of an existing map construction method, the deep learning technology is fused, coordinate mapping is performed on each knowledge element, distance information is fully utilized, relevancy between the knowledge elements is reflected, and the method has remarkable superiority in terms of association study of common medicine on semantic retrieval, visual traditional Chinese medicine community discovery, single medicine and basic prescriptions.

Description

technical field [0001] The invention relates to the technical field of medical big data graphs, in particular to a method for constructing a knowledge graph of traditional Chinese medicine. Background technique [0002] Knowledge graph is a knowledge base with graph structure, which belongs to the category of knowledge engineering. Different from ordinary knowledge bases, knowledge graphs integrate all disciplines, and link knowledge units of different sources, types, and structures into graphs. Based on the metadata of each discipline, it provides users with a wider and deeper knowledge system and continuously expansion. In essence, it systematizes and relationalizes domain knowledge data, and visualizes the knowledge in the form of graphs. To put it simply, the knowledge map is a knowledge system based on information systems. Through data collection, data mining, information processing, knowledge measurement, and graphic rendering, it systematically displays complex know...

AI Technical Summary

Problems solved by technology

However, the current application of knowledge graphs is still limited to search engines and question answering systems, and other applications are less

In the field of medicine, especially in traditional Chinese medicine and Chinese materia medica, there are usually intricate relationships between symptoms, diseases and diagnosis and treatment methods, and the existing data storage mode of the relational model is not convenient for the expansion of the content of the medical knowledge system, nor can it provide information for traditional Chinese medicine. Personnel provide visual reference

However, when the parameter setting level of the existing TCM knowledge graph technology is not uniform, the evaluation criteria obtained by the TCM knowledge graph are inconsistent, and it is easy to draw conclusions that are redundant or cannot be explained by traditional compatibility theory.

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