Health information recommendation method and device based on knowledge graph, equipment and medium

Abstract

The invention relates to the technical field of artificial intelligence, is applied to smart medical treatment, and discloses a health information recommendation method and device based on a knowledgegraph, equipment and a medium. The method comprises the steps of inputting the target feature information of an obtained target object into a preset health feature similarity model, and obtaining a health classification label corresponding to the target feature information; obtaining all sample triples with sample classification labels the same as health classification labels from a preset healthrecommendation database constructed based on the knowledge graph; and extracting sample health information and a recommendation value associated with the sample health information from all the obtained sample triples, and pushing the associated sample health information to the target object according to the recommendation value. According to the method, the sample health information matched withthe target object is recommended to the target object according to the sample triples in the health recommendation database constructed based on the knowledge graph, so that the sample health information recommendation accuracy is improved, and the construction of a smart city can be promoted.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a health information recommendation method, device, equipment and medium based on a knowledge graph. Background technique [0002] With the development of society and economy, people's awareness of health is becoming stronger and stronger. Whether they are healthy people, sub-healthy people, or even patients, they can adjust their physical conditions from the aspects of exercise and diet. At present, most people plan their own exercise and diet from methods widely circulated on the Internet. Blindly imitating other people's exercise plans and diet arrangements may cause adverse consequences. For example, for diabetic patients, it is necessary to control carbohydrate intake to avoid raising blood sugar, and to exercise properly; The accuracy is low, and its practicability is uneven, so it is difficult to achieve self-regulation of blood sugar levels; in th...

AI Technical Summary

Problems solved by technology

[0003] Embodiments of the present invention provide a health information recommendation method, device, device, and medium based on a knowledge map to solve the problems of low practicability and low accuracy in judging health information such as diet and exercise

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