数据挖掘理念在医院病历随访系统中的应用  

Application of Data Mining Thought in Case History Random Visiting System

作　　者：王卫东[1] 屈洋[1] 

机构地区：[1]暨南大学,广东广州510632

出　　处：《计算机技术与发展》2010年第7期199-202,共4页Computer Technology and Development

基　　金：教育部留学回国人员科研启动基金(教外司留[1999]363号)

摘　　要：通常在医院里每天都会记录大量的医疗信息,数据挖掘技术就是从记录成千上万份病历的病历随访数据库系统中找出患某种疾病病人的共同特征,从而为诊断这种疾病提供依据,或利用数据挖掘技术筛选出的信息来建立具有一定参考价值的某种疾病的医疗方案数据库,以此提高医院的诊断效率和对突发性疾病的爆发及时提供有效的应急措施。详细论述了数据挖掘的理念和如何利用数据挖掘技术实现病历随访数据库有价值的医疗信息的获取的方法。通过数据挖掘技术的使用,大幅提高医疗信息数据库的有价值数据的集成与分析,改变医院病历随访数据库系统的"数据丰富,有效信息缺乏整理"的现象。通过讨论可以看出选择数据挖掘技术不仅可以提高病历随访数据库系统的应用效率而且对突发性流行病的控制与预防能提供极具参考价值的信息。There are a large of information recorded in the hospital every day.Data mining technique is to find common character about a illness from thousands of case history in the case history random visiting database,and to offer the method of diagnosing this illness,or to build a having reference worth medical treatment pattern database with the effective information filtered by data mining for some illness.Dependent data mining,advances diagnoses efficiency of the hospital and offer an effective emergency measure for the paroxysmal illness.Detailed discuss data mining theory and how to utilize data mining technique to realize the method of getting worth medical treatment information from the case history random visiting database.Through using data mining technique,there is more advance about the analysis and integration of the worth information in the medical treatment information database and change the phenomenon about ＂data richness,absence settle＂ in the case history random visiting database system of the hospital.Through discussion,see that the data mining technique is not only to advance the application efficiency of the case history random visiting database system,but also to offer very worth information for control and prevention of the paroxysmal epidemic.

关 键 词：病历随访数据管理系统 数据挖掘 知识发现 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]