Medical knowledge graph construction method and device

Abstract

The embodiment of the invention provides a medical knowledge graph construction method and device. The method comprises: acquiring diagnosis evidence information, clinical manifestation information and disease information; according to the diagnosis evidence information, the clinical manifestation information and the disease information, utilizing a preset diagnosis standard, a clinical standard and a disease diagnosis method to establish an association relationship between the disease and the multi-layer clinical manifestation and an association relationship between the clinical manifestationof each layer and the diagnosis evidence; and according to the association relationship between the disease and the multi-layer clinical manifestation and the association relationship between the clinical manifestation of each layer and the diagnosis evidence, constructing a medical knowledge graph containing the association relationship among the diagnosis evidence entity, the clinical manifestation entity and the disease entity. According to the method, clinical manifestation information is added into the medical knowledge graph, and the association relationship between diagnosis evidences and diseases is established through multi-layer clinical manifestation, so that the medical knowledge graph can fully reflect the differential diagnosis thought of doctors.

Description

technical field [0001] The embodiments of the present invention relate to the field of computer technology, and in particular to a method and device for constructing a medical knowledge graph. Background technique [0002] Compared with the traditional knowledge representation, the knowledge graph has the characteristics of rich semantics, friendly structure, massive scale, and excellent quality. When medical knowledge is represented in the knowledge graph, the advantages of the knowledge graph and related technologies can be used for reasoning and application. At present, the knowledge map representing medical knowledge, its data model is mostly the direct relationship between symptoms and other evidence and disease. Using the current knowledge map, the direct relationship between symptoms and other evidence can not be considered for the direction of the disease, and the accuracy of the disease inference results is also low. not tall. Contents of the invention [0003] I...

AI Technical Summary

Problems solved by technology

At present, the knowledge map representing medical knowledge, its data model is mostly the direct relationship between symptoms and other evidence and disease. Using the current knowledge map, the direct relationship between symptoms and other evidence can not be considered for the direction of the disease, and the accuracy of the disease inference results is also low. not tall

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