Discovery method of core drug of traditional Chinese medicine prescription

Abstract

The invention discloses a discovery method of the core drug of a traditional Chinese medicine prescription. The discovery method consists of an improved clustering algorithm and a weighting TF-IDF (Term Frequency-Inverse Document Frequency) algorithm, wherein the clustering algorithm comprises three parts including prescription data pretreatment, the selection of a clustering distance function and a clustering mining algorithm; the prescription data pretreatment is used for processing prescription data into a model suitable for the clustering algorithm; the selection of the clustering distance function is used for selecting a reasonable clustering distance function; the clustering mining algorithm is used for clustering similar prescriptions into one cluster; and the weighting TF-IDF algorithm is used for calculating the weight of the drug. A weight calculation formula is combined with a clustering result, a medicine sequence importance degree and the TF-IDF algorithm, and the algorithm is high in accuracy.

Description

Technical field: [0001] The invention mainly relates to the discovery of core medicines of traditional Chinese medicine prescriptions, and is used for excavating the core medicines in prescriptions for treating certain diseases. Background technique: [0002] Drugs are the basic components of prescriptions. As we all know, "the emperor, ministers, assistants and envoys" is the basic principle of formulating prescriptions in traditional Chinese medicine. According to the functions they play in the prescription, the medicines in the prescription are divided into monarch medicine, minister medicine, adjuvant medicine and envoy medicine, which are referred to as "junchen, adjuvant and envoy". Various medicines play different roles in prescriptions. Finding the core drug that plays a major role in the treatment of a certain disease in a traditional Chinese medicine prescription can reveal the medication rules in the compatibility of traditional Chinese medicine prescriptions. I...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved in the present invention is to provide a method for the core drug of traditional Chinese medicine prescriptions, especially the method for extracting the core drugs of traditional Chinese medicine prescriptions based on improved K-Means clustering and weighted TF-IDF, which is mainly aimed at the current existing methods that are easily affected by drugs. A general, accurate, effective, and reasonable mining method for core drugs of traditional Chinese medicine prescriptions is proposed due to problems such as frequency impact, inaccurate mining results, and complex algorithms.

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