FP growth algorithm model-based traditional Chinese medicine formula data mining method and system

Abstract

The invention discloses an FP growth algorithm model-based traditional Chinese medicine formula data mining method and system. The system comprises the following steps of: pre-processing recorded traditional Chinese medicine original data; constructing an FP-tree data structure which takes characteristic items in a first transaction set as frequent items; arranging characteristic items corresponding transaction in the first transaction set according to the sequence of the frequent items in the FP-tree data structure, and generating a second transaction set, wherein the second transaction set comprises a plurality of data sets, each data set take included characteristic items as transactions and each transaction comprises the characteristic items, arranged before the characteristic items corresponding to the transactions, in the data set; carrying out an FP-growth algorithm on each data set and generating FP-tree sub-data structures in one-to-one correspondence with the plurality of data sets; and mining association rules between different effects and / or association rules between the mined effects and channel tropisms on the basis of a corresponding relationship between the characteristic items in the different FP-tree sub-data structures. According to the method and system disclosed by the invention, the information interferences in the retrieval process of the users can be decreased.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a traditional Chinese medicine formula data mining method and system based on an FP growth algorithm model. Background technique [0002] At present, most of the prescription data preprocessing methods are based on the content of dictionaries or textbooks, and then artificially classified, such as the processing of symptom names and drug aliases, which lack objectivity and uniform standards. In addition, the existing formula mining system needs to manually input the name of the prescription or medicinal material, and then retrieve the appropriate prescription compatibility information from the database. In this process, due to the combination of commonly used medicinal materials, a large amount of information interference increases the search when formulating a prescription. of time. SUMMARY OF THE INVENTION [0003] The main purpose of the present invention is to prov...

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Problems solved by technology

[0002] At present, most of the prescription data preprocessing methods are based on the content of dictionaries or textbooks, and then artificially classify and process, such as the treatment of symptom names and drug aliases, which lack objectivity and uniform standards

In addition, the existing formula mining system needs to manually input the prescription or the name of the medicinal material, and then retrieve the appropriate prescription compatibility information from the database. In the process, due to the large number of prescription combinations of commonly used medicinal materials, a large amount of information interference increases the search time when formulating the prescription. time spent

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