Medical entity association analysis method based on knowledge graph

Abstract

The invention discloses a medical entity association analysis method based on a knowledge graph. The method comprises the following steps: S101, acquiring human body index detection data by using detection equipment, and extracting a medical entity; s102, carrying out abnormality analysis on the corresponding medical entities, entering association analysis if the medical entities are abnormal, andotherwise, directly outputting normal results; s103, associating but not limited to abnormal diseases of related human body indexes in the knowledge graph; s104, associating but not limited to symptoms of diseases related to the knowledge graph, recommending food, inquiring and the like; and S105, outputting correlation analysis results including but not limited to detection data, correlation symptoms, diet suggestions and the like. The medical entity association analysis method provided by the invention not only can be associated with related diseases, but also can give corresponding symptoms and health suggestions, so as to help users to better understand own health conditions and reduce the risk of diseases.

Description

technical field [0001] The present invention relates to the field of medical technology, in particular to a method for analyzing associations of medical entities based on knowledge graphs. Background technique [0002] With the vigorous development of artificial intelligence and the Internet, the medical system has also been vigorously developed, resulting in a large number of professional medical information resources, but limited by the problems of scattered, heterogeneous, redundant and fragmented medical information resources, users It is often impossible to get accurate feedback and guidance in a timely and effective manner. A knowledge graph refers to a semantic network with entities and concepts as nodes and semantic relationships as edges, linking knowledge units from different sources, types, and structures into a graph. Based on the metadata of various disciplines, it provides users with a wider and deeper knowledge system and continues to expand, and can provide ...

AI Technical Summary

Problems solved by technology

[0003] The patent with the publication number CN109635121A discloses a knowledge map creation method and related devices. The patent provides a method for constructing a knowledge map from hospital raw data, but does not provide a method for integrating related entities of the knowledge map

The patent with the publication number CN108492887A discloses a method and device for creating a knowledge map. This patent provides a method for automatically extracting and constructing entities using the Apriori algorithm, but also does not provide a method for using knowledge maps for association analysis.

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