CASIA OpenIR  > 09年以前成果
Select informative symptoms combination for diagnosing syndrome
Sun, Zhanquan; Xi, Guangcheng; Yi, Jianqiang; Zhao, Dongbin
Source PublicationJOURNAL OF BIOLOGICAL SYSTEMS
2007-03-01
Volume15Issue:1Pages:27-37
SubtypeArticle
AbstractSelection of treatment according to the differentiation of syndromes is the kernel theory of traditional Chinese medicine. Different symptoms play different roles in the differentiation of syndromes. It is important to know the contribution rate of each symptom quantitatively. How to find the most informative symptoms combination served as the differential diagnosis standard of a syndrome is also a significant problem in traditional Chinese medicine too. Mutual information can measure arbitrary statistical dependence between variables. Features selection based on mutual information has been widely applied. In this paper, a new definition of contribution rate based on mutual information is proposed. In the definition, joint mutual information needs some form of calculation. An efficient calculation method of joint mutual information and a novel features selection method are developed. Here combinatorial contribution rate is defined as a stopping rule instead of prescribing the number of selected symptoms. The selected symptoms are input to a supervised BP neural network for diagnosing syndrome. Finally, the feasibility of the method is illustrated through a TCM example.
KeywordFeature Selection Contribution Rate Mutual Information Symptom Syndrome Traditional Chinese Medicine
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
WOS KeywordALGORITHM
Indexed BySCI
Language英语
WOS Research AreaLife Sciences & Biomedicine - Other Topics ; Mathematical & Computational Biology
WOS SubjectBiology ; Mathematical & Computational Biology
WOS IDWOS:000245532600003
Citation statistics
Cited Times:6[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9456
Collection09年以前成果
Corresponding AuthorSun, Zhanquan
AffiliationChinese Acad Sci, Inst Automat, Key Lab Complex Syst & Intelligence Sci, Beijing 100080, Peoples R China
Recommended Citation
GB/T 7714
Sun, Zhanquan,Xi, Guangcheng,Yi, Jianqiang,et al. Select informative symptoms combination for diagnosing syndrome[J]. JOURNAL OF BIOLOGICAL SYSTEMS,2007,15(1):27-37.
APA Sun, Zhanquan,Xi, Guangcheng,Yi, Jianqiang,&Zhao, Dongbin.(2007).Select informative symptoms combination for diagnosing syndrome.JOURNAL OF BIOLOGICAL SYSTEMS,15(1),27-37.
MLA Sun, Zhanquan,et al."Select informative symptoms combination for diagnosing syndrome".JOURNAL OF BIOLOGICAL SYSTEMS 15.1(2007):27-37.
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