医疗数据挖掘的特点、过程及方法  

The Characteristics,Process and Methods of Medical Data Mining

作　　者：洪弘[1] 李玲娟[1] 

机构地区：[1]南京中医药大学信息技术学院,南京210046

出　　处：《价值工程》2011年第32期166-167,共2页Value Engineering

摘　　要：近年来,医疗数据资料持续爆炸性增长,在治疗技术不断提升的同时也带来了新的问题——数据丰富,知识贫乏。由此,引入了新的处理方式——数据挖掘。医疗数据挖掘面向整个医疗数据库或医疗信息集合,为其提供知识、规则和决策。本文分析了医疗数据的特点和该领域知识获取的特点、步骤及方法。Nowadays,with the sustained and explosive growth of medical data,the curative technology was greatly improved but a new problem also emerged： there were rich data but less knowledge.Therefore,the new method of data mining is applied now.Data mining has provided knowledge,rules and decision for the whole medical database or the integration of medical information.This paper analyzes the characteristics of medical data,the basic steps and methods of getting knowledge in medical data field which has significant meaning for the processing of medical data

关 键 词：医疗数据 数据特点 数据挖掘 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]