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

A technology of knowledge graph and identification method, applied in equipment and storage medium, constitution identification method and device field based on knowledge graph, can solve problems such as low accuracy of constitution, influence diagnosis effect, unsatisfactory identification effect, etc., so as to improve accuracy , to ensure the effectiveness of the diagnosis

Pending Publication Date: 2022-05-13
PING AN TECH (SHENZHEN) CO LTD
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  • Summary
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  • Claims
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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 closel

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

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Embodiment Construction

[0031] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0032] It should be noted that although the functional modules are divided in the schematic diagram of the device, and the logical sequence is shown in the flowchart, in some cases, it can be executed in a different order than the module division in the device or the flowchart in the flowchart. steps shown or described. The terms "first", "second" and the like in the specification and claims and the above drawings are used to distinguish similar objects, and not necessarily used to describe a specific sequence or sequence.

[0033] With the rapid development of artificial intelligence, speech synt...

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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...

Claims

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Application Information

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IPC IPC(8): G16H50/20G06F16/36G06K9/62
CPCG16H50/20G06F16/367G06F18/24323
Inventor 金晓辉阮晓雯
Owner PING AN TECH (SHENZHEN) CO LTD
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