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...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autor principal: LongXiang Ma (22684322) (author)
Otros Autores: 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)
Publicado: 2025
Materias:
Medicine
Immunology
Plant Biology
Biological Sciences not elsewhere classified
Aneurysmal subarachnoid haemorrhage
mortality prediction
Boruta
LASSO
SMOTE
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares