Computer equipment, system and readable storage medium

A technology of computer equipment and computer programs, applied in the field of systems and readable storage media, and computer equipment, can solve problems such as difficult to find diseases, achieve the effects of rich and comprehensive knowledge base, accurate risk prediction, and reduce morbidity

Pending Publication Date: 2019-09-27
BOE TECH GRP CO LTD
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Problems solved by technology

Because diabetes itself has no symptoms, it is diffic

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  • Computer equipment, system and readable storage medium
  • Computer equipment, system and readable storage medium
  • Computer equipment, system and readable storage medium

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Embodiment Construction

[0035] In order to illustrate the present invention more clearly, the present invention will be further described below in conjunction with preferred embodiments and accompanying drawings. Similar parts in the figures are denoted by the same reference numerals. Those skilled in the art should understand that the content specifically described below is illustrative rather than restrictive, and should not limit the protection scope of the present invention.

[0036] Knowledge graph is a knowledge base with graph structure, which belongs to the category of knowledge engineering. Different from ordinary knowledge bases, knowledge graphs integrate all disciplines, and link knowledge units of different sources, types, and structures into graphs. Based on the metadata of each discipline, it provides users with a wider and deeper knowledge system and continuously expansion. In essence, it systematizes and relationalizes domain knowledge data, and visualizes the knowledge in the form...

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Abstract

The invention discloses computer equipment, a system and a readable storage medium. The computer equipment comprises a memory, a processor and a computer program which is stored on the memory and can run on the processor. When the processor executes the program, multi-source heterogeneous data related to diabetes mellitus are collected; entities, attribute information of the entities and relationship information among the entities are extracted from the multi-source heterogeneous data; a diabetes knowledge graph is constructed according to the extracted entities, the attribute information of the entities and the relationship information among the entities; and a parameter group consisting of one or more parameters related to diabetes is received, and the diabetes risk corresponding to the parameter group based on the diabetes knowledge graph is obtained and output. According to the method, risk prediction is carried out by fusing the diabetes knowledge graph constructed by the multi-source heterogeneous data, the diabetes risk prediction level can be accurately given, and then health suggestions with high pertinence can be given.

Description

technical field [0001] The present invention relates to the field of computer technology. More specifically, it relates to a computer device, system and readable storage medium. Background technique [0002] Diabetes is a systemic endocrine and metabolic disease related to genetics and various environmental factors. Absolute or relative insufficiency of insulin in the body can cause disorders of sugar, protein, and fat metabolism, mainly characterized by hyperglycemia and glycosuria, which can be accompanied by multiple organ damage leading to disability or even death. Because diabetes itself has no symptoms, it is difficult to detect the disease without blood sugar testing. The fear of diabetes lies in its many complications, such as eye retinopathy, neuropathy, kidney disease, hypertension, cardiovascular and cerebrovascular diseases, urinary system infection, etc. Many patients with diabetes for the first time suffer from acute ketosis coma and hypoglycemia coma They a...

Claims

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Application Information

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IPC IPC(8): G16H50/30G16H20/60G16H80/00G06F16/28G06F16/36G06N20/10
CPCG16H20/60G16H50/30G16H80/00G06F16/288G06F16/367G06N20/10
Inventor 代亚菲
Owner BOE TECH GRP CO LTD
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