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	Individualized Assessment of Cerebral Autoregulation in Patients with Intracranial Stenosis Using Machine Learning
	Pandeng Zhang; Quanli Qiu; Jia Liu
	2017
会议日期	2017
会议地点	Jeju Island, Korea
英文摘要	In this study, we attempt to individualize the assessment of cerebral autoregulation in patients with intracranial stenosis. Convolution neural network (CNN) was applied to learn autoregulatory parameters estimated from healthy subjects and patients with severe stenosis with symptoms. We then used the trained model to individualize the status of autoregulation in the 5 groups of patients.
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/12692]
专题	深圳先进技术研究院_数字所
作者单位	2017
推荐引用方式 GB/T 7714	Pandeng Zhang,Quanli Qiu,Jia Liu. Individualized Assessment of Cerebral Autoregulation in Patients with Intracranial Stenosis Using Machine Learning[C]. 见:. Jeju Island, Korea. 2017.

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