Development of a pre-discharge model for 1-year post-discharge all-cause mortality after endovascular treatment for aneurysmal subarachnoid haemorrhage using LASSO–Boruta feature selection

Development of a pre-discharge model for 1-year post-discharge all-cause mortality after endovascular treatment for aneurysmal subarachnoid haemorrhage using LASSO–Boruta feature selection

<p>To develop a predischarge model for predicting 1-year post-discharge all-cause mortality in patients with aneurysmal subarachnoid haemorrhage (aSAH) following endovascular treatment (EVT).</p> <p>We retrospectively analysed 947 patients with aSAH who were discharged alive betwee...

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Bibliographische Detailangaben
1. Verfasser: LongXiang Ma (22684322) (author)
Weitere Verfasser: Bin Zhang (64682) (author), Xiangxin Li (7252754) (author), Yinhui Yu (3160260) (author), Jierong Zou (22684325) (author), Chaohui Yi (22684328) (author), Hailong Zhong (21778029) (author), Pengpeng Yan (12266714) (author), Xu Zhu (424407) (author), Hui Ma (290168) (author)
Veröffentlicht: 2025
Schlagworte:
Medicine
Immunology
Plant Biology
Biological Sciences not elsewhere classified
Aneurysmal subarachnoid haemorrhage
mortality prediction
Boruta
LASSO
SMOTE
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