Author(s)

Rongchuan Guo

Corresponding Author

Rongchuan Guo

Abstract

The data pretreatment research on traditional Chinese medicine prescriptions is to convert the information of the four flavors and five flavors, efficacy, returning, and toxicity of the medicine into digital information, so that it is more accurate in the data mining of Chinese medicine prescriptions, and it is the research and clinical practice of traditional Chinese medicine prescriptions. Practical research provides a theoretical reference. The regional differences in traditional Chinese medicine culture have brought many uncertainties in the data of traditional Chinese medicine. To solve the data problem of the new drug development decision support system based on data mining, a set of methods for regulating the original Chinese medicine data is proposed. The application of data reduction technology, clustering method and fuzzy set theory improved the quality of TCM data, and made important rules in the pre-treated Chinese medicine prescription database, which provided powerful decision support for the development of new Chinese medicine.

Keywords

Data Preprocessing, Data Mining, Data Reduction