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Medication guidance query method and device based on knowledge graph

A technology of knowledge graph and medication guidance, applied in the direction of drugs or prescriptions, patient-specific data, etc., can solve the problems of low accuracy and large recommendation range.

Inactive Publication Date: 2020-05-22
北京左医健康技术有限公司
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AI Technical Summary

Problems solved by technology

[0006] The purpose of the embodiment of the present invention is to pre-establish the drug knowledge map and make a portrait of the user to intelligently screen the appropriate medication information for the user based on the drug knowledge map, so as to solve the problem of excessive recommendation range and low accuracy of the existing search methods

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  • Medication guidance query method and device based on knowledge graph
  • Medication guidance query method and device based on knowledge graph
  • Medication guidance query method and device based on knowledge graph

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Embodiment Construction

[0043] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0044] In the embodiments of the present invention, unless stated otherwise, the used orientation words such as "up, down, top, bottom" are usually for the directions shown in the drawings or for vertical, vertical or The term used to describe the mutual positional relationship of each component in terms of the direction of gravity.

[0045] In order to achieve the above purpose, as figure 1 As shown, the embodiment of the present invention provides a method for querying medication guidance based on knowledge graphs, including:

[0046] S100. In response to the query request sent by the client, push a corresponding interaction template to the client;

[0047]...

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Abstract

The embodiment of the invention provides a medication guidance query method and device based on a knowledge graph, and belongs to the technical field of medical artificial intelligence. The method comprises the steps of pushing a corresponding interaction template to a user side in response to a query request sent by the user side; acquiring interaction information fed back by the user side through the interaction template, and generating a user portrait corresponding to the user side according to the interaction information; and generating medication information according to the user portraitand a pre-established drug knowledge graph, and feeding back the medication information to the user side. According to the technical scheme, the interaction information of a user is obtained throughthe interaction template to construct a user portrait of the user in real time, and based on the pre-established drug knowledge graph, the medication information is generated for the user portrait andrecommended to the user; the problem that a search mode based on word matching can only recommend a large drug candidate list due to the fact that the obtained user information is too little is effectively solved.

Description

technical field [0001] The invention relates to the technical field of medical artificial intelligence, in particular to a method for querying medication guidance based on a knowledge graph and a device for querying medication guidance based on a knowledge graph. Background technique [0002] At present, natural language processing technology, as one of the most important fields of artificial intelligence, has already demonstrated great value in search, advertising, dialogue and other directions. In the medical field, massive medical records, textbooks, papers, questions and answers and other medical data urgently need the development of natural language processing technology. Knowledge graph is a way of representing knowledge by computer, which has been widely used in search, dialogue and other directions. The recommendation technology is based on the user's portrait and recommends more personalized content to the user. Currently, it is mainly used in news reading, e-comme...

Claims

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Application Information

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IPC IPC(8): G16H20/13G16H10/60
CPCG16H10/60G16H20/13
Inventor 霍华荣
Owner 北京左医健康技术有限公司
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