Individualized Assessment of Cerebral Autoregulation in Patients with Intracranial Stenosis Using Machine Learning
文献类型：会议论文
| 作者 | Pandeng Zhang; Quanli Qiu; Jia Liu |
| 出版日期 | 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 |
| 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. |
入库方式： OAI收割
来源：深圳先进技术研究院
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