Interpretable machine learning model to predict rupture of small intracranial aneurysms and facilitate clinical decision

HIGHLIGHTS

• who: Posted Date November et al. from the China Pharmaceutical University have published the research: Interpretable Machine Learning Model to Predict Rupture of Small Intracranial Aneurysms and Facilitate Clinical Decision, in the Journal: (JOURNAL)
• what: The authors aimed to develop a convenient tool to facilitate clinical decision and optimize treatment options. Maximum size of 6.1mm, location at PCOA and irregular shape are the main reasons for the false positive prediction that the third case was a ruptured IA, while maximum size of 3mm and regular shape are the main reasons for the false negative . . .
  

   

  

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