ABSTRACT
This study was aimed to analyze the medication and herbal prescription rules in the treatment of nephrotic syndrome (NS) by Prof. Huang Chunlin with Traditional Chinese Medicine Inheritance Support System ( TCMISS ) . Prescriptions used for NS treatment were collected and the data was entered into the TCMISS . The commonly used herbs and herbal prescription rules in NS treatment by Prof. Huang were summarized through the association rules, revised mutual information, complex system entropy cluster and other unsupervised hierarchical clustering methods. The results showed that based on the analysis of 280 prescriptions from 68 patients, the fre-quency of each herb and association rules among herbs included in the database were identified. And the basic NS treatment prescription by Prof. Huang Chunlin and 8 new prescriptions were mined from the database. It was concluded that data mining is of great practical value to the summarization of clinical experiences of well-known TCM doctors.