Phenotype-driven risk stratification of cerebral aneurysms using Shapley Additive Explanations-based supervised clustering: a novel approach to rupture prediction.

Journal: Neurosurgical focus
Published Date:

Abstract

OBJECTIVE: The aim of this study was to address the limitations of traditional aneurysm risk scoring systems and computational fluid dynamics (CFD) analyses by applying a supervised clustering framework to identify distinct aneurysm phenotypes and improve rupture risk prediction.

Authors

  • Shrinit Babel
    1Morsani College of Medicine, University of South Florida, Tampa, Florida.
  • Syed R H Peeran
    3Department of Neurological Sciences-Neurosurgery, Christian Medical College Vellore, Tamil Nadu, India.