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	Mining Brain Features from Schizophrenia Studies with Shift-And Pattern Matching
	Omisore O.M.; Xue R; Ivanov K; Wang L
	2016
会议名称	Cloud Computing and Big Data Analysis (ICCCBDA), 2016 IEEE International Conference on
会议地点	中国成都
英文摘要	An efficient prospect to medical procedures such as diagnosis and therapy is by obtaining knowledge of medical experts from formal reports. Several studies have been carried out on finding differences in brain connectivity between schizophrenia patients and healthy controls with their results reported in natural language with tables and figures. In the area of biomedical research, natural language processing can be employed to retrieve relevant information from articles by scientific and medical experts, based on which a brain network characterizing schizophrenia could be built. Hence, this study presents suitable text mining model for retrieving information about brain region. Meta-analysis is employed to integrate knowledge from different, while relevant information is retrieved from scientific publications with Shift-And Pattern Matching. Evaluation on a set of 1,525 scientific literatures on schizophrenia shows the model has good recall of 73.7%.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/10576]
专题	深圳先进技术研究院_医工所
作者单位	2016
推荐引用方式 GB/T 7714	Omisore O.M.,Xue R,Ivanov K,et al. Mining Brain Features from Schizophrenia Studies with Shift-And Pattern Matching[C]. 见:Cloud Computing and Big Data Analysis (ICCCBDA), 2016 IEEE International Conference on. 中国成都.

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