Machine learning predictors of risk of death within 7 days in patients with non-traumatic subarachnoid hemorrhage in the intensive care unit: A multicenter retrospective study

Machine learning predictors of risk of death within 7 days in patients with non-traumatic subarachnoid hemorrhage in the intensive care unit: A multicenter retrospective study

Non-traumatic subarachnoid hemorrhage (SAH) is a critical neurosurgical emergency with a high mortality rate, imposing a significant burden on both society and families. Accurate prediction of the risk of death within 7 days in SAH patients can provide valuable information for clinicians, enabling t...

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Bibliographic Details
Main Authors: Longyuan Gu, Hongwei Hu, Shinan Wu, Fengda Li, Zeyi Li, Yaodong Xiao, Chuanqing Li, Hui Zhang, Qiang Wang, Wenle Li, Yuechao Fan
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Heliyon
Subjects:
Non-traumatic subarachnoid hemorrhage
Predictors
Machine learning
Prediction model
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Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023111510

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http://www.sciencedirect.com/science/article/pii/S2405844023111510

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