Accurately predicting the risk of unfavorable outcomes after endovascular coil therapy in patients with aneurysmal subarachnoid hemorrhage: an interpretable machine learning model

被引:0
作者
Zhou Zhou
Anran Dai
Yuqing Yan
Yuzhan Jin
DaiZun Zou
XiaoWen Xu
Lan Xiang
LeHeng Guo
Liang Xiang
FuPing Jiang
ZhiHong Zhao
JianJun Zou
机构
[1] Nanjing Medical University, Department of Pharmacy, Nanjing First Hospital
[2] China Pharmaceutical University,School of Basic Medicine and Clinical Pharmacy
[3] Nanjing Medical University,Office of Clinical Trials, Nanjing First Hospital
[4] The First Affiliated Hospital (People’s Hospital of Hunan Province),Department of Neurology
[5] Hunan Normal University,Department of Geriatrics
[6] Nanjing First Hospital,undefined
[7] Nanjing Medical University,undefined
来源
Neurological Sciences | 2024年 / 45卷
关键词
Aneurysmal subarachnoid hemorrhage; Endovascular treatment; Machine learning; Prognosis; Prediction model;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:679 / 691
页数:12
相关论文
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