Phenotype-driven risk stratification of cerebral aneurysms using Shapley Additive Explanations–based supervised clustering: a novel approach to rupture prediction
The supervised clustering identified distinct cerebral aneurysm phenotypes, balancing granularity with interpretability in CFD data analysis. Future studies should build on these phenotype-driven insights with temporal analyses and larger datasets for validation, as well as an end-to-end framework to enhance scalability.
Authors
- Shrinit Babel (ORCID: https://orcid.org/0000-0002-6180-7778)
- Syed R. H. Peeran (ORCID: https://orcid.org/0009-0009-3296-3446)
Institutions
- Johns Hopkins University (US)
- Christian Medical College, Vellore (IN)
- University of South Florida (US)
- Christian Medical College (IN)
Publication Details
- Journal
- Neurosurgical FOCUS
- Published
- 2025-07-01
- DOI
- https://doi.org/10.3171/2025.4.focus241024
- Citations
- 2
- Primary Topic
- Intracranial Aneurysms: Treatment and Complications
- Type
- article
- Field-Weighted Citation Impact
- 2.78