Objective: To investigate the prescription rules of Professor YANG Mu-xiang in treatment of chronic gastritis. Method: Based on the Traditional Chinese Medicine Inheritance Support System

some data mining methods without supervision

such as asocciation rules Apriori algoritlma

complex system entropy clustering

were used to analyze the use frequency of herbs in the prescriptions as well as the asocciation rules and prescription laws between various herbs

and discuss the prescription experience of professor YANG Mu-xiang in treatment of chronic gastritis. Result: Seven Chinese herbs with highest use frequency

common herb combinations and core herbs in Professor YANG Mu-xiang's prescriptions for chronic gastritis were obtained. Conclusion: Based on the exploration of veteran doctors' experience in traditional Chinese medicine treatment on the Traditional Chinese Medicine Inheritance Support System Platform

new knowledge and information except those in previous traditional medical records collation and statistical research was obtained in this study

which can provide valuable reference for the further exploring and inheritance of professor YANG Mu-xiang's treatment of chronic gastritis.