Analysis on Professor Huang Chunlin's Experiences in Herbal Administration for Nephrotic Syndrome Based on Data Mining

VernacularTitle:基于数据挖掘方法分析黄春林教授治疗肾病综合征用药经验
Author: Yingru LING ; Long ZHAO ; Li BAI ; Fuhua LU ; Xusheng LIU ; Xinfeng GUO ; Chuan ZOU
Publication Type:Journal Article
Keywords: Data mining; nephrotic syndrome; Huang Chunlin; medication experiences
From: World Science and Technology-Modernization of Traditional Chinese Medicine 2013;(5):958-964
CountryChina
Language:Chinese
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.