AR tumor knowledge graph multi-modal demonstration method based on intelligent search

Abstract

The invention provides an AR tumor knowledge graph multi-modal demonstration method based on intelligent search. The method comprises the following steps of: S1, building a multi-modal knowledge graphof a target tumor disease, building a target tumor knowledge graph based on multi-modal knowledge display according to related data, and storing the target tumor knowledge graph into a neo4j database; S2, adopting a unity tool system to set a human body three-dimensional model, clicking a corresponding organ position, demonstrating an AR multi-modal knowledge graph of a target tumor entity, and carrying out 2D and 3D conversion according to needs; and S3, performing multi-modal information display on the knowledge graph of the target entity on the basis of the combination of intelligent search and the visual knowledge graph. According to the method, the AR display of the multi-modal knowledge graph is adopted, intelligent search and 2D conversion are provided, multiple functions are fused, and therefore, a user can have a richer experience effect, and the knowledge obtaining efficiency of the user is improved.

Description

technical field [0001] The present invention relates to the fields of medical data processing and knowledge map visualization, in particular to a multimodal demonstration method of AR tumor knowledge map based on intelligent question answering. Background technique [0002] With the development of medical informatization and the big data of medical care, more and more useful knowledge graphs have been constructed in the medical field. ", applying the knowledge map to the field of tumors can provide services such as drug recommendation and disease prediction by constructing a tumor knowledge map. [0003] At present, intelligent search can provide traditional functions such as fast retrieval, relevance ranking, intelligent information filtering and push. The popularization of medical knowledge to patients is mainly through manual methods, relying on doctors' verbal explanations, but sometimes patients need to know more knowledge, and they can only retrieve information from t...

AI Technical Summary

Problems solved by technology

This invention mainly solves the disadvantages of the existing methods, such as single visualization form, boring content, complicated information, and simple functions, and makes it easier for users to obtain target medical knowledge and is easy to master

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