基于医学图像建立预测模型的应用现况  

Application status of prediction models based on medical images

作　　者：王晶晶[1] 孙涛[1] 郭秀花[1] 

机构地区：[1]首都医科大学公共卫生学院,北京100069

出　　处：《北京生物医学工程》2013年第4期432-435,407,共5页Beijing Biomedical Engineering

基　　金：国家自然科学基金(81172772;30972550);北京市自然科学基金(4112015);北京市属高等学校人才强教深化计划(PHR201007112)资助

摘　　要：基于医学图像建立的预测模型,可以在一定程度上帮助临床医生对一些复杂及早期难发现的疾病进行诊断,而日益受到重视。在医学图像分析中采用的预测模型,主要包括数据挖掘算法、回归预测方法和时间序列预测法等。本文重点介绍数据挖掘算法和其他模型的应用情况、模型间的对比及联合应用效果,总体上模型联合应用的效果较好。The prediction model based on medical images,which could help doctors in decision making of diseases hard to be diagnosed,has aroused more and more public concern. The prediction models for medical image analysis include data mining,regression forecast method and time series prediction method,etc. In this review,the application of data mining and other models,comparison between these models and the effects of combined application are briefly introduced. The joint applications of different models might be better to some extent.

关 键 词：医学图像 预测模型 数据挖掘 应用现况 

分 类 号：R318.04[医药卫生—生物医学工程]