Prediction and analysis of periprocedural complications associated with endovascular treatment for unruptured intracranial aneurysms using machine learning

HIGHLIGHTS

  • who: Chuanzhi Duan from the Beijing Institute of Technology, China, China have published the research work: Prediction and analysis of periprocedural complications associated with endovascular treatment for unruptured intracranial aneurysms using machine learning, in the Journal: (JOURNAL)
  • what: The authors developed three ML models to predict these events and investigate risk factors associated with periprocedural complications.
  • how: The authors exploited three ML algorithms to develop predictive models for periprocedural complications after endovascular treatment artificial neural_networks (ANN) random forest (RF) and logistic regression (LR). Details of the ML models are provided in Supplementary material . . .

     

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