Analysis of TCM prescription rule of stroke based on FP-growth algorithm

Abstract

The incidence of stroke is high in China. Therefore, it is of great scientific significance to strengthen the research on stroke and find more effective treatment methods for reducing the mortality of stroke and improving the quality of life of the people. At present, the treatment of traditional Chinese medicine in the clinical treatment of acute stroke has been widely studied, and a large number of clinical medical data and literature have been accumulated. These clinical medical literature provides rich clinical medical data and resources for the in-depth excavation and Research on the curative effect of traditional Chinese medicine in the treatment of stroke and the research of drug compatibility. In this study, FP growth algorithm is used to analyze the correlation and compatibility of the collected data and prescriptions of traditional Chinese medicine, and to obtain the correlation and compatibility rules between Chinese medicine prescriptions, which can provide reference for clinical patients and doctors in drug selection, and provide data analysis support for giving full play to the clinical efficacy and advantages of traditional Chinese medicine in the treatment of acute stroke.