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

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.