Physique recognition method and device based on knowledge graph, equipment and storage medium

Abstract

The invention discloses a physique recognition method and device based on a knowledge graph, equipment and a storage medium, and can be widely applied to the technical field of artificial intelligence. The method comprises the following steps: acquiring symptom text data; extracting symptom feature data from the symptom text data; inputting the symptom characteristic data into a knowledge graph to obtain strong correlation symptom data and / or weak correlation symptom data corresponding to the symptom characteristic data; according to the knowledge graph and the strong correlation symptom data and / or weak correlation symptom data corresponding to the symptom feature data, obtaining score data of the symptom feature data corresponding to a plurality of preset physique category data; according to the score data of the symptom feature data corresponding to a plurality of preset physique category data, determining the physique category data corresponding to the symptom feature data, the preset physique category data including the physique category data, the physique recognition accuracy can be effectively improved, and the diagnosis effect is ensured.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a physique identification method, device, equipment and storage medium based on a knowledge map. Background technique [0002] With the development of artificial intelligence technology, medical diagnosis technology is also becoming more and more intelligent. Currently, it can support functions such as auxiliary disease diagnosis, health management, and remote consultation. In related technologies, machine learning is usually used to identify human physique, but there are the following defects: first, most of them use CV (computer vision) technology to identify the patient's tongue and face examination, but the identification effect is usually not ideal; secondly, The task of constitution identification is closely related to the patient's own description of symptoms, but the patient's own description of symptoms is usually uncertain and diverse, and the id...

AI Technical Summary

Problems solved by technology

In related technologies, machine learning is usually used to identify human physique, but there are the following defects: first, CV (computer vision) technology is mostly used to identify the patient's tongue and face examination, but the identification effect is usually not ideal; secondly, The task of constitution identification is closely related to the patient's own description of symptoms, but the patient's own description of symptoms is usually uncertain and diverse, and the identification of constitution directly based on the acquired symptom description of the patient will lead to low accuracy of the constitution identification. It is easy to affect the diagnosis effect

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