A Network-Based Approach to Investigate the Pattern of Syndrome in Depression

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	A Network-Based Approach to Investigate the Pattern of Syndrome in Depression
	Song, Jianglong 1; Liu, Xi 1; Deng, Qingqiong 2; Dai, Wen 1; Gao, Yibo1 ; Chen, Lin1 ; Zhang, Yunling 3; Wang, Jialing 3; Yu, Miao3 ; Lu, Peng 1; Guo, Rongjuan 3
发表期刊	Evidence-based Complementary and Alternative Medicine
	2015
文章类型	Article
摘要	In Traditional Chinese Medicine theory, syndrome is essential to diagnose diseases and treat patients, and symptom is the foundation of syndrome differentiation. Thus the combination and interaction between symptoms represent the pattern of syndrome at phenotypic level, which can be modeled and analyzed using complex network. At first, we collected inquiry information of 364 depression patients from 2007 to 2009. Next, we learned classification models for 7 syndromes in depression using naive Bayes, Bayes network, support vector machine (SVM), and C4.5. Among them, SVM achieves the highest accuracies larger than 0.9 except for Yin deficiency. Besides, Bayes network outperforms naive Bayes for all 7 syndromes. Then key symptoms for each syndrome were selected using Fisher's score. Based on these key symptoms, symptom networks for 7 syndromes as well as a global network for depression were constructed through weighted mutual information. Finally, we employed permutation test to discover dynamic symptom interactions, in order to investigate the difference between syndromes from the perspective of symptom network. As a result, significant dynamic interactions were quite different for 7 syndromes. Therefore, symptom networks could facilitate our understanding of the pattern of syndrome and further the improvement of syndrome differentiation in depression.
WOS标题词	Science & Technology ; Life Sciences & Biomedicine
关键词[WOS]	TRADITIONAL CHINESE MEDICINE ; MODERNIZATION
收录类别	SCI
语种	英语
WOS研究方向	Integrative & Complementary Medicine
WOS类目	Integrative & Complementary Medicine
WOS记录号	WOS:000353510200001
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/8108
专题	综合信息系统研究中心
作者单位	1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 2.Beijing Normal Univ, Coll Informat Sci & Technol, Beijing 100875, Peoples R China 3.Beijing Univ Chinese Med, Dongfang Hosp, Beijing 100029, Peoples R China
第一作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Song, Jianglong,Liu, Xi,Deng, Qingqiong,et al. A Network-Based Approach to Investigate the Pattern of Syndrome in Depression[J]. Evidence-based Complementary and Alternative Medicine,2015.
APA	Song, Jianglong.,Liu, Xi.,Deng, Qingqiong.,Dai, Wen.,Gao, Yibo.,...&Guo, Rongjuan.(2015).A Network-Based Approach to Investigate the Pattern of Syndrome in Depression.Evidence-based Complementary and Alternative Medicine.
MLA	Song, Jianglong,et al."A Network-Based Approach to Investigate the Pattern of Syndrome in Depression".Evidence-based Complementary and Alternative Medicine (2015).