摘要
如何有效地挖掘和利用医疗活动过程中所产生的大量医学信息资源,使之有效地服务于医学的科学研究和临床诊断是医学信息数据挖掘所面临的主要问题。本文首先介绍目前医学数据挖掘研究的特点和现状,以及其区别于其它一般数据挖掘方法的地方;然后探讨粗糙集理论在医学乳腺X片数据挖掘中的应用,最后分析和总结实验中涉及的一些关键问题,并对未来的发展方向进行探讨。
In the field of medical information data mining,the big challenge is how to mine and utilize the huge amount of medical information repository effectively,so as to help the medical research and clinical diagnosis.This paper first introduces the features and status quo of medical data mining,and then analyzes the difference between medical data mining and general data mining,finally discusses a concrete application of rough sets theory in medical X ray pictures and proposes some critical issues involved in it.
出处
《计算机与现代化》
2011年第7期176-178,共3页
Computer and Modernization
关键词
粗糙集理论
医学信息
数据挖掘
rough sets theory
medical information
data mining
