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Common occupational disease risk prediction method based on knowledge graph

A knowledge map and risk prediction technology, applied in the field of common occupational disease risk prediction based on knowledge map, can solve problems such as lack of interpretation of physical examination results and harm to the health of white-collar workers.

Pending Publication Date: 2021-10-22
成都基预科技有限公司
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Problems solved by technology

[0002] Occupational diseases are a dozen invisible killers that endanger the health of white-collar workers. Occupational diseases have many symptoms, which are closely related to the environment and individuals, and are relatively predictable. At present, many employees of units have physical examinations, but the results of physical examinations lack interpretation. Knowledge map Compared with other big data analysis methods, it has strong interpretability and is suitable for medical scenarios. Therefore, a common occupational disease risk prediction method based on knowledge graph is proposed to solve the above problems

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[0013] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0014] In the following description, references to "one embodiment," "an embodiment," "an example," "example," etc. indicate that such described embodiment or example may include a particular feature, structure, characteristic, property, element, or limitations, but not every embodiment or example necessarily includes the specific feature, structure, characteristic, property, element or limitation. Additionally, repeated use of the phrase "according to one embodiment of the present application" does not necessarily refer to the same embodiment, although it may.

[0015] For simplicity, some technical features known to those skilled in the art are omitted from the following description.

[0016] According to an embodiment of the prese...

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Abstract

The invention provides a common occupational disease risk prediction method based on a knowledge graph. The common occupational disease risk prediction method comprises the following steps: S1, constructing a Chinese medical lexicon; S2,constructing a relationship between nodes of the knowledge graph; S3, performing specific analysis on the knowledge graph data; S4, collecting data for correction and verification. The method can well solve the problem of comprehensive analysis of employee physical examination results.

Description

technical field [0001] The present invention specifically relates to a common occupational disease risk prediction method based on a knowledge map. Background technique [0002] Occupational diseases are a dozen invisible killers that endanger the health of white-collar workers. Occupational diseases have many symptoms, which are closely related to the environment and individuals, and are relatively predictable. At present, many employees of units have physical examinations, but the results of the physical examinations lack interpretation. Knowledge map Compared with other big data analysis methods, it has strong interpretability and is suitable for medical scenarios. Therefore, a common occupational disease risk prediction method based on knowledge graph is proposed to solve the above problems. Contents of the invention [0003] The purpose of the present invention is to provide a common occupational disease risk prediction method based on a knowledge map, which can well ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/30G16H70/00G06F16/36
CPCG16H50/30G16H70/00G06F16/367
Inventor 凌之浩白丽军石茂翔
Owner 成都基预科技有限公司