Rupture Risk Assessment for Cerebral Aneurysm Using Interpretable Machine Learning on Multidimensional Data.

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作者： Chubin,Ou ^[1] ; Jiahui,Liu ^[2] ; Yi,Qian ^[1] ; Winston,Chong ^[2] ; Xin,Zhang ^[3] ; Wenchao,Liu ^[1] ; Hengxian,Su ^[1] ; Nan,Zhang ^[1] ; Jianbo,Zhang ^[1] ; Chuan-Zhi,Duan ^[1] ; Xuying,He ^[1]

作者单位： National Key Clinical Specialty/Engineering Technology Research Center of Education Ministry of China, Guangdong Provincial Key Laboratory on Brain Function Repair and Regeneration, Department of Neurosurgery, Neurosurgery Institute, Zhujiang Hospital, Southern Medical University, Guangzhou, China. ^[1] Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Macquarie University, Sydney, NSW, Australia. ^[2] Monash Medical Centre, Monash University, Clayton, VIC, Australia. ^[3]

关键词 intracranial aneurysm machine learning rupture stroke subarachnoid hemorrhage

DOI 10.3389/fneur.2020.570181

PMID 33424738

发布时间 2021-01-12

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Frontiers in neurology

2020年11卷

570181页

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Rupture Risk Assessment for Cerebral Aneurysm Using Interpretable Machine Learning on Multidimensional Data.

Frontiers in neurology

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Frontiers in neurology

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Rupture Risk Assessment for Cerebral Aneurysm Using Interpretable Machine Learning on Multidimensional Data.

Frontiers in neurology

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Frontiers in neurology

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