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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Detaylı Bibliyografya
Yazar:	LongXiang Ma (22684322) (author)
Diğer Yazarlar:	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)
Baskı/Yayın Bilgisi:	2025
Konular:	Medicine Immunology Plant Biology Biological Sciences not elsewhere classified Aneurysmal subarachnoid haemorrhage mortality prediction Boruta LASSO SMOTE
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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

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