Clinical test result analysis method and system based on medical knowledge map

A technology of medical knowledge and clinical examination, applied in the field of clinical examination result analysis method and system based on medical knowledge map, can solve the problems of not considering patient information, affecting the reference range of test indicators, affecting the accuracy of doctors' diagnosis of patients, etc., to achieve High-quality medical services, shareable intelligent services, and enhanced richness

Active Publication Date: 2022-02-15
湖南科创信息技术股份有限公司
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AI Technical Summary

Problems solved by technology

[0007] Based on the above problems, the present invention provides a method and system for analyzing clinical test results based on the medical knowledge map, which solves the problem that the patient’s information is not considered, which affects the reference range of the test index, thereby affecting the doctor’s diagnosis accuracy of the patient

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  • Clinical test result analysis method and system based on medical knowledge map
  • Clinical test result analysis method and system based on medical knowledge map
  • Clinical test result analysis method and system based on medical knowledge map

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Embodiment Construction

[0039] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0040] Knowledge graph is a frontier research problem of intelligent big data, and it complies with the development of the information age with its unique technical advantages. The predecessor of the knowledge graph is the Semantic Web, which absorbs the concepts of the Semantic Web and Ontology in terms of knowledge organization and expression, making it easier for knowledge to be exchanged, circulated, and processed between computers and between computers and people. Specifically, a knowledge graph consists of a schema graph, a data graph, and the relationship between the two: the schema graph describes the conceptual level of the human knowledge domain, emphasizing the ...

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Abstract

The invention discloses a method for analyzing clinical test results based on medical knowledge maps, which includes the following steps: S1, gathering information resources related to clinical tests, combining medical objective facts, and constructing a medical knowledge map with test knowledge as the core; S2, Obtain patient information to obtain a patient model, obtain at least one clinical test item and result of the patient to obtain a clinical test item and a result model; S3, combine the patient model, clinical test items and result model with the clinical test medical knowledge map , obtain the clinical test judgment result and clinical significance analysis through reasoning analysis; S4, summarize all test items and abnormal marks of the results and clinical significance analysis, and output the test report; the present invention considers the patient's information, and improves the accuracy of the patient's diagnosis , Improve the analysis efficiency of test reports, and effectively reduce the rate of missed diagnosis and misdiagnosis.

Description

technical field [0001] The present invention relates to the field of smart medical technology, in particular to a method and system for analyzing clinical test results based on medical knowledge graphs. Background technique [0002] At present, after the patient is tested in the hospital, the equipment or instrument will print out a series of test indicators, and if there is any abnormality in each test indicator, it will mark an "up" or "down" arrow to form a test list. For further analysis, the doctor will make a second judgment and analysis based on the patient's condition, and give corresponding diagnosis or treatment suggestions. [0003] However, the test indicators and marking results printed by the equipment are generally marked according to the standard reference range at present, and there is no effective reference to patient information. The reference range of test index values ​​generally involves many factors: in addition to specimens, equipment, and test metho...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H10/20G06F16/36
CPCG16H10/20G06F16/367
Inventor 武学鸿李敏
Owner 湖南科创信息技术股份有限公司
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