基于数据挖掘的疾病预测模型的构建与分析  

Design and Analysis of Disease Prediction Model Based on Data Mining

作　　者：李奋华[1,2] 赵润林[1] 

机构地区：[1]运城学院计算机科学与技术系,运城044000 [2]中国科学院大学,北京100190

出　　处：《现代计算机》2016年第12期14-17,共4页Modern Computer

基　　金：国家自然科学基金项目(No.61272480)

摘　　要：在大数据时代,HIS在全国绝大多数医院得到有效推广,这在一定程度上提高医院的工作效率,但是也产生一个亟待解决的重要问题:如何能在HIS的海量医学数据中发现潜在、有价值的信息,从而有效地支持医生进行疾病的诊断与决策,进而缓解当前紧张的医患关系。把数据挖掘技术引入到海量医学数据的分析中,提出一种基于决策树的疾病预测模型,并在实际的医学疾病数据集上进行验证,能取得较好的预测效果。In big data era, HIS is applied in many hospitals of our country in order to improve their work efficiency. But there is a challenging prob- lem to solve： how to find some latent and valuable information or principles from the massive data in HIS is very important, because this not only can support the disease diagnosis and decision of doctors in some extent, but also can relieve the tense relationships between doctors and patients. Applies data mining technologies to the analysis of massive medical data, proposes a disease prediction model based on decision tree method. Through the experiments of real medical datasets, some empirical studies are shown to demonstrate the effectiveness of this model on real medical data sets.

关 键 词：大数据 数据挖掘 医院信息系统 疾病预测 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]