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

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 ...

AI Technical Summary

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 association rule mining algorithms; (2) Most data sources lack semantic consistency, such as term ambiguity, many (3) There is no effective method to enable the machine to explain and semantically label the frequent patterns found; and (4) There is no effective method to enable the machine to reason, transform, and Cropping and semantic annotation

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