太原理工大学学报Issue(2)：171-175,5.DOI:10.16355/j.cnki.issn1007-9432tyut.2015.02.008
复杂网络理论在酗酒分类中的应用研究
Application of the Complex Networks Theory in the Classification of Alcoholism
摘要
Abstract
Alcoholism has become the third largest factor affecting human health ,but pheno‐type characteristics of alcohol rolated brain damage are not obvious .At present ,the study of alco‐holics electroencephalogram(EEG) is mostly concentrated in the difference between the local fea‐tures of brain ,but rarely classified between alcoholics and control group .This study used com‐plex network theory to construct and analyze the alcoholics EEG function brain networks based on EEG data ,and dug out specific network indicators as classification features by statistical test and machine learning .The accuracy can achieve 76.8% using SVM .The results show that the properties of brain networks can be used as early objective indicators of alcoholism ,and applied to the clinical diagnosis of alcoholism disease .关键词
脑电/复杂网络/酗酒/脑网络Key words
EEG/complex network/alcoholic/brain networks分类
信息技术与安全科学引用本文复制引用
曹锐,陈俊杰,李海芳,相洁..复杂网络理论在酗酒分类中的应用研究[J].太原理工大学学报,2015,(2):171-175,5.基金项目
国家自然科学基金资助项目抑郁症 EEG功能脑网络构建及异常特征分析研究（61170136，61373101，61472270）；太原理工大学校青年基金项目资助 （）
