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基于粗糙集和随机森林算法辅助糖尿病并发症分类研究
引用本文:聂斌,王卓,杜建强,朱明峰,林剑鸣,艾国平,熊玲珠.基于粗糙集和随机森林算法辅助糖尿病并发症分类研究[J].江西师范大学学报(自然科学版),2014,0(3):278-281.
作者姓名:聂斌  王卓  杜建强  朱明峰  林剑鸣  艾国平  熊玲珠
作者单位:江西中医药大学计算机学院,江西 南昌,330004;南昌大学软件学院,江西 南昌,330047
基金项目:国家自然科学基金(81160424);江西省自然科学基金(20122BAB205083);江西省教育厅科技计划(GJJ11541,GJJ13014)资助项目
摘    要:提出基于粗糙集和随机森林算法辅助糖尿病并发症分类。首先,运用简化的分明矩阵法对属性约简,产生新的决策信息系统;其次,采用随机森林算法对该新信息系统生成随机森林,实现分类;最后,通过糖尿病并发症临床诊断数据子集测试。实验表明该方法有效性,并优于直接用随机森林算法分类。

关 键 词:粗糙集  随机森林  糖尿病  并发症

The Study on Classification of Secondary Complications of Diabetes Based on Rough Set and Random Forest
NIE Bin,WANG Zhuo,DU Jian-qiang,ZHU Ming-feng,LIN Jian-ming,AI Guo-ping,XIONG Lin-zhu.The Study on Classification of Secondary Complications of Diabetes Based on Rough Set and Random Forest[J].Journal of Jiangxi Normal University (Natural Sciences Edition),2014,0(3):278-281.
Authors:NIE Bin  WANG Zhuo  DU Jian-qiang  ZHU Ming-feng  LIN Jian-ming  AI Guo-ping  XIONG Lin-zhu
Institution:NIE Bin;WANG Zhuo;DU Jian-qiang;ZHU Ming-feng;LIN Jian-ming;AI Guo-ping;XIONG Lin-zhu;School of Computer,Jiangxi University of Traditional Chinese Medicine;Software School,Nanchang University;
Abstract:The paper study on classification of secondary complications of diabetes based on rough set and random forest. First,using the simplified matrix method for attribute reduction,clearly have new decision information sys-tem;second,by random forest algorithm to generate random forests for the new information system,and gain the clas-sification result. The method has been proved feasible and effective after test the database,it′s classification result are better than directly with random forest algorithm.
Keywords:rough sets  random forest  diabetes  complications
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