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A method and system for constructing a causality knowledge base oriented to the health field

A causal relationship and knowledge base technology, applied in the field of medical informatization, which can solve the problems of not being able to explain the causality of symptoms and quantify the causal relationship of diseases.

Active Publication Date: 2020-11-10
杭州芝兰健康有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

[0010] Through the above prior art research, it can be found that the prior art for comorbidities and complications between diseases is far from enough. The only publication number is CN107145712A, which can only be judged by simple mathematical statistics, and is It can only explain the correlation between diseases, but not the causality between diseases, which is not enough to quantify the causal relationship between diseases

Method used

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  • A method and system for constructing a causality knowledge base oriented to the health field
  • A method and system for constructing a causality knowledge base oriented to the health field
  • A method and system for constructing a causality knowledge base oriented to the health field

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Embodiment 1

[0039] In the process of scientific research, literature is the most persuasive and convincing carrier for recording scientific research results. There is no doubt that most of the content of scientific research activities is recorded in the literature. A large number of documents record the relationship between diseases, but it is very difficult for doctors to consult a large number of documents to study the causal relationship between diseases. For example, in the medical world, there is no causal relationship between the conditions of the comorbidities, but there is a causal relationship between the conditions of the complications. Based on this, the present invention provides a method for constructing a knowledge base of complications or comorbidities in a quantitative manner through the processes of collecting, separating, extracting parameters, and judging documents containing various diseases, which can provide doctors with The decision-making of treatment methods prov...

Embodiment 2

[0078] This embodiment serves as a supplement to Embodiment 1. In order to be able to without affecting the causal relationship between disease pairs, the causal unit 3 simplifies the undirected graph constraints through the independence test. For example, the test of independence can use the chi-square test of independence.

[0079] In the present invention, the independence test can also adopt the following method:

[0080] For disease L m , obtained from the constructed undirected graph in the form of sequence and L m The connected nodes make up its node set. And calculate each node and disease L successively m The correlation between them, and select the node with the greatest correlation for independence assumption, delete the given subset D and L m independent nodes. In the present invention, entropy is used to measure the random variable pair L m uncertainty. For a given random variable L m In the case of the random variable L n The uncertainty of can be measu...

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Abstract

The present invention relates to a method for constructing a causality knowledge base oriented to the field of health. The steps include: a document unit can obtain a large number of relevant documents containing various diseases and classify them to form a number of document units to construct an original document library, so as to The data unit can obtain the main characteristic parameters based on the literature unit and construct a data set based on the main characteristic parameters. The causal unit builds a Bayesian network based on the main characteristic parameters and the data set to analyze the average causal effect between diseases through the data mode, so that The knowledge unit is capable of building a knowledge base based on related literature in such a way as to form correspondences between diseases and the average causal effects between diseases.

Description

technical field [0001] The invention relates to the technical field of medical information technology, in particular to a method and system for constructing a causality knowledge base oriented to the health field. Background technique [0002] In the process of scientific research, literature is the most persuasive and convincing carrier for recording scientific research results. There is no doubt that most of the content of scientific research activities is recorded in the literature. A large number of documents record the relationship between diseases, but it is very difficult for doctors to consult a large number of documents to study the causal relationship between diseases. For example, in the medical field, comorbidities and complications are the occurrence of one disease followed by another or more diseases. Among them, complications and complications are a complex concept of clinical medicine. Complications refer to the occurrence of another disease or symptom cau...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H10/00G16H50/70G06F16/36G06N5/04
CPCG16H10/00G16H50/70G06F16/36G06N5/041
Inventor 杨矫云江思源吉品安宁
Owner 杭州芝兰健康有限公司
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