Prediction of delayed cerebral ischemia after cerebral aneurysm rupture using explainable machine learning approach.

ABSTRACT: BackgroundAneurysmal subarachnoid hemorrhage results in significant mortality and disability, which is worsened by the development of delayed cerebral ischemia. Tests to identify patients with delayed cerebral ischemia prospectively are of high interest.ObjectiveWe created a machine learning system based on clinical variables to predict delayed cerebral ischemia in aneurysmal subarachnoid hemorrhage patients. We also determined which variables have the most impact on delayed cerebral ischemia prediction using SHapley Additive exPlanations method.Methods500 aneurysmal subarachnoid hemorrhage patients were identified and 369 met inclusion criteria: 70 patients developed delayed cerebral ischemia (delayed cerebral ischemia+) and 299 did not (delayed cerebral ischemia-). The algorithm was trai

SUBMITTER: Taghavi RM 

PROVIDER: S-EPMC12202946 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature