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Predicting rupture risk in unruptured intracranial aneurysms: a comparative evaluation of machine learning models and conventional risk scores.

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Bibliographic Details
Title: Predicting rupture risk in unruptured intracranial aneurysms: a comparative evaluation of machine learning models and conventional risk scores.
Authors: Ogolo, Donald E.1 (AUTHOR) donald.ogolo@npmcn.edu.ng, Ajare, Enyereibe C.2 (AUTHOR), Opara, Brenda C.3 (AUTHOR), Onyemaobi, Chinedu J.3 (AUTHOR), Akwada, Obioma Richard1 (AUTHOR), Ndukuba, Kelechi1 (AUTHOR), Ohaegbulam, Samuel C.4 (AUTHOR)
Source: Egyptian Journal of Neurosurgery. 7/20/2026, Vol. 41 Issue 1, p1-14. 14p.
Database: Academic Search Ultimate
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ISSN:25208225
DOI:10.1186/s41984-026-00627-6