Rupture Risk Assessment for Cerebral Aneurysm Using Interpretable Machine Learning on Multidimensional Data

Background: Assessment of cerebral aneurysm rupture risk is an important task, but it remains challenging. Recent works applying machine learning to rupture risk evaluation presented positive results. Yet they were based on limited aspects of data, and lack of interpretability may limit their use in...

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Detalles Bibliográficos
Autores principales: Ou, Chubin, Liu, Jiahui, Qian, Yi, Chong, Winston, Zhang, Xin, Liu, Wenchao, Su, Hengxian, Zhang, Nan, Zhang, Jianbo, Duan, Chuan-Zhi, He, Xuying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7785850/
https://www.ncbi.nlm.nih.gov/pubmed/33424738
http://dx.doi.org/10.3389/fneur.2020.570181

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7785850/
https://www.ncbi.nlm.nih.gov/pubmed/33424738
http://dx.doi.org/10.3389/fneur.2020.570181

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