Can we explain machine learning-based prediction for rupture status assessments of intracranial aneurysms?

Although applying machine learning (ML) algorithms to rupture status assessment of intracranial aneurysms (IA) has yielded promising results, the opaqueness of some ML methods has limited their clinical translation. We presented the first explainability comparison of six commonly used ML algorithms:...

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Detalles Bibliográficos
Autores principales: Mu, N, Rezaeitaleshmahalleh, M, Lyu, Z, Wang, M, Tang, J, Strother, C M, Gemmete, J J, Pandey, A S, Jiang, J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOP Publishing 2023
Materias:
Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9999353/
https://www.ncbi.nlm.nih.gov/pubmed/36626819
http://dx.doi.org/10.1088/2057-1976/acb1b3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9999353/
https://www.ncbi.nlm.nih.gov/pubmed/36626819
http://dx.doi.org/10.1088/2057-1976/acb1b3

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