Method for constructing index relational network

A construction method and relational network technology, applied in the field of index relational network construction, which can solve the problems of abnormal item output and inability to predict in time.

Inactive Publication Date: 2017-06-20
北京北青厚泽数据科技有限公司
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention provides a method for constructing an index relationship network to solve the problem that in the prior art, it is necessary to manually sort out abnormalities based

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  • Method for constructing index relational network
  • Method for constructing index relational network
  • Method for constructing index relational network

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Embodiment Construction

[0027] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings, but the present invention can be implemented in many different ways defined and covered by the claims.

[0028] The invention provides a method for constructing an index relationship network, which can be used in systems with complex index systems such as schools and banks. The method includes the following steps:

[0029] Step 1, collect data of all management indicators in the same time period;

[0030] Step 2, calculate the degree of correlation between the two indicators in the management indicators, and output a pair of indicators with a strong correlation; for example, through gray correlation analysis, linear correlation, rank correlation, cosine, Pearson correlation , Euclidean distance and other methods to calculate the degree of association.

[0031] Step 3: Check the causal relationship between the two indicators in the indicator pair, and...

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Abstract

The invention provides a method for constructing an index relational network. The method comprises the following steps: 1, collecting the data of all management indexes in the same period of time; 2, calculating the relational degree between two indexes of the management indexes, and outputting index pairs with a strong correlation; 3, testing the causal relationship between the two indexes within the index pairs, and giving the influence direction of relevance of the index pairs according to the causal relationship. According to the hospital management index relational network constructed by means of the method for constructing an index relational network, the index relational network can automatically locate the root index which causes an abnormality when an index is abnormal, the root cause of the abnormality can be traced when the abnormality occurs, and there is no need to manually sort out the cause of the abnormality according to service relationships. In addition, it can be predicted that the other indexes pointed to by the abnormal index may be abnormal according to the index relational network, and timely control and solution of more serious problems caused by the abnormality are conducted before they occur.

Description

technical field [0001] The invention relates to the field of indicator abnormality prediction, in particular to a method for constructing an indicator relationship network. Background technique [0002] In the existing technology, when a certain index in the hospital management index relationship network is abnormal, it is necessary to manually sort out the cause of the abnormality based on the business relationship, which not only needs to rely on the experience of the manager, but also cannot predict in time which other indicators it points to Metrics can misbehave, often leading to more serious problems. Contents of the invention [0003] The present invention provides a method for constructing an index relationship network to solve the problem that in the prior art, it is necessary to manually sort out abnormalities based on business relationships, and it is impossible to predict in time which other indicators pointed to by it may cause item abnormalities, resulting in...

Claims

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Application Information

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IPC IPC(8): G06F19/00
CPCG06F19/32
Inventor 夏一粟刘红跃
Owner 北京北青厚泽数据科技有限公司
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