东南大学学报（英文版）2015，Vol.31Issue(4)：582-587,6.DOI:10.3969/j.issn.1003-7985.2015.04.026
基于默认网络贝叶斯模型的轻微型肝性脑病的判别方法
Discrimination for minimal hepatic encephalopathy based on Bayesian modeling of default mode network
摘要
关键词
基于图像模型的多元分析/贝叶斯模型/机器学习/功能整合/轻微型肝性脑病/静息态功能磁共振Key words
graphical-model-based multivariate analysis/Bayesian modeling/machine learning/functional integration/minimal hepatic encephalopathy/resting-state functional magnetic resonance imaging (fMRI)分类
信息技术与安全科学引用本文复制引用
焦蕴,王训恒,汤天宇,朱西琪,滕皋军..基于默认网络贝叶斯模型的轻微型肝性脑病的判别方法[J].东南大学学报（英文版）,2015,31(4):582-587,6.基金项目
The National Natural Science Foundation of China (No.81230034,81271739,81501453),the Special Program of Medical Science of Jiangsu Province (No.BL2013029),the Natural Science Foundation of Jiangsu Province (No.BK20141342). （No.81230034,81271739,81501453）
