Generalized relating rule digging method for analyzing traditional Chinese medicine recipe drug matching rule

A technology of traditional Chinese medicine prescriptions and drug groups, which is applied in the field of generalized association rule mining, which can solve the problems that cannot be directly processed, data sources lack semantic consistency, and association rule mining results cannot be explained by traditional Chinese medicine prescriptions.

Inactive Publication Date: 2008-03-26
ZHEJIANG UNIV
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Problems solved by technology

However, the current studies that can be cited have not achieved the desired success, and the core problem is that the results of association rule mining cannot be reasonably explained by TCM prescriptions
The reasons for this dilemma are as follows: (1) Most data sources are unstructured, so they cannot be directly processed by associatio

Method used

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  • Generalized relating rule digging method for analyzing traditional Chinese medicine recipe drug matching rule

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Embodiment Construction

[0029] The invention provides a data mining method, which is used to analyze the combination rules of traditional Chinese medicine prescriptions by mining a large number of records of traditional Chinese medicine prescriptions. This method uses the prescription database to extract the implicit, unknown and meaningful drug combination patterns from a large number of prescriptions; it provides an important source of knowledge for the theoretical research of TCM prescriptions and the study of TCM clinical medication.

[0030] Before elaborating the method in detail, it is necessary to clarify the application background of the mining of TCM prescription drug composition laws. Traditional Chinese medicine prescriptions generally include the prescription name, drug composition, efficacy and indications, etc. The following is the information of the ancient prescription Dabuihu Decoction:

[0031] Case 1 (ancient prescription Dabuihu Decoction).

[0032] square name

[0033] Big Bu...

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Abstract

This invention discloses an excavation method of generalized association rule used to analysis the compound rule of Chinese medicine; the method is essentially an excavation of association rule combined with excavation method of generalized association rule expressed by field knowledge, using semantic Web technology as the principal means expressed by field knowledge. The method relates to a knowledge discovery device, the device use nomenclature system and field rule provided by the knowledge database to complete the data excavation process and submit the excavation results to knowledge database in the form of knowledge proposal, then certified and evaluated by the field experts. The data excavation process comprises: extract required data from Chinese medicine data resource first, then excavate senseful frequency model in the data and make semantic labels, extract and reason the generalized rules according to the labeled model. The use of semantic Web technology fields to construct knowledgebase, and the attainment of information and knowledge transfer between the components the methods referred to.

Description

technical field [0001] The present invention relates to the technical field of data mining, and more specifically, relates to a generalized association rule mining method for analyzing the combination rules of traditional Chinese medicine prescriptions and medicines from a large number of records of traditional Chinese medicine prescriptions. Background technique [0002] The composition law of TCM prescriptions refers to the causal relationship between the components and the mechanism of action of TCM compound prescriptions, and it is a core topic in the field of TCM prescriptions. The study of such laws requires evidence support from three sources: (1) various clinical manifestations of patients after admission and treatment with TCM prescriptions; (2) results obtained from standard clinical research aimed at TCM prescriptions; and (3) data on the chemical composition of the medicinal product obtained through compliant scientific experiments. They respectively correspond ...

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Application Information

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IPC IPC(8): G06F17/30G06F19/00
Inventor 吴朝晖于彤封毅姜晓红
Owner ZHEJIANG UNIV
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