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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
0
Zitationen
10
Autoren
2025
Jahr
Abstract
Random forest model enables individualised pre-discharge risk stratification and may guide perioperative management.
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Autoren
Institutionen
- Ningxia Medical University(CN)
- Ningxia Medical University General Hospital(CN)
- Nanyang Institute of Technology(CN)
- First Affiliated Hospital of Zhengzhou University(CN)
- Nanchang University(CN)
- First Affiliated Hospital of Nanchang University(CN)
- Second Affiliated Hospital of Nanchang University(CN)
- Capital Medical University(CN)
- Capital University(US)
- Beijing Institute of Neurosurgery(CN)
- Henan Provincial People's Hospital(CN)
- Hunan University of Traditional Chinese Medicine(CN)