Method for constructing core symptom-differentiation relation based on traditional Chinese medicine knowledge graph

Abstract

The invention discloses a method for constructing a core symptom-differentiation relation based on a traditional Chinese medicine knowledge graph. The method comprises the steps of mining and extracting a case set formed of four diagnostic methods information and differentiation factor knowledge elements of medical records of traditional Chinese medicine and auxiliary knowledge elements such as a theory, a rule, a prescription and a drug from literature of traditional Chinese medicine and a disease diagnosis database, establishing a sample relation for each case corresponding to the four diagnostic methods information and differentiation factors through a deep learner; then converting the sample relation into a directed-weighted complex network; abstracting a knowledge element inference relation included by the sample corresponding to each symptom into a directed edge set; and outputting a visual topological graph in a manner of a knowledge map and a knowledge inference network. According to the method, effective information carried by traditional Chinese medicine cases can be fully utilized, feature extraction and self-learning is realized to the maximum extent by use of a deep neural network, the construction of the visual topological graph for the traditional Chinese medicine symptoms and differentiation factors greatly improves the finding efficiency of potential knowledge and lays a foundation for intelligent diagnostic aid decision making of traditional Chinese medicine and recommendation of medicare guiding service.

Description

technical field [0001] The present invention relates to the field of graph construction of syndromes in medical diagnosis, in particular to a method for constructing core syndrome relationship based on traditional Chinese medicine knowledge graph. Background technique [0002] The knowledge map integrates all disciplines, and links knowledge units of different sources, types, and structures into a graph. Based on the metadata of each discipline, it provides users with a wider and deeper knowledge system and continues to expand. 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 knowledge fields and reveals the dynamic development of knowledge fields. In the construction of the ...

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Problems solved by technology

However, most of the existing traditional Chinese medicine knowledge map data sources are solidified knowledge such as medical classics and official diagnosis and treatment guidelines. On the one hand, they cannot meet the clinical needs for dynamic update of knowledge; Autonomous exploration in the process of use

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