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A Machine Learning Approach to Investigate the Relationship between Shape Features and Numerically Predicted Risk of Ascending Aortic Aneurysm

Geometric features of the aorta are linked to patient risk of rupture in the clinical decision to electively repair an ascending aortic aneurysm (AsAA). Previous approaches have focused on relationship between intuitive geometric features (e.g. diameter and curvature) and wall stress. This work inve...

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Dades bibliogràfiques
Publicat a:Biomech Model Mechanobiol
Autors principals: Liang, Liang, Liu, Minliang, Martin, Caitlin, Elefteriades, John A., Sun, Wei
Format: Artigo
Idioma:Inglês
Publicat: 2017
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Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC5630492/
https://ncbi.nlm.nih.gov/pubmed/28386685
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10237-017-0903-9
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