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Predicting who has delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage using machine learning approach: a multicenter, retrospective cohort study

Abstract Background Early prediction of delayed cerebral ischemia (DCI) is critical to improving the prognosis of aneurysmal subarachnoid hemorrhage (aSAH). Machine learning (ML) algorithms can learn from intricate information unbiasedly and facilitate the early identification of clinical outcomes....

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Principais autores: Sihan Ge, Junxin Chen, Wei Wang, Li-bo Zhang, Yue Teng, Cheng Yang, Hao Wang, Yihao Tao, Zhi Chen, Ronghao Li, Yin Niu, Chenghai Zuo, Liang Tan
Format: Artigo
Sprog:Inglês
Udgivet: BMC 2024-05-01
Serier:BMC Neurology
Fag:
Aneurysmal subarachnoid hemorrhage
Delayed cerebral ischemia
Machine learning
Prediction
Random forest
Online adgang:https://doi.org/10.1186/s12883-024-03630-2
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