A machine learning approach to investigate the relationship between shape features and numerically predicted risk of ascending aortic aneurysm

Research article (Biomechanics and Modeling in Mechanobiology, 2017) · cited 169× · AI/ML
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A machine learning approach to investigate the relationship between shape features and numerically predicted risk of ascending aortic aneurysm

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A machine learning approach to investigate the relationship between shape features and numerically predicted risk of ascending aortic aneurysm is a scholarly article[1].

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  • A machine learning approach to investigate the relationship between shape features and numerically predicted risk of ascending aortic aneurysm's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). A machine learning approach to investigate the relationship between shape features and numerically predicted risk of ascending aortic aneurysm. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-machine-learning-approach-to-investigate-the-relationship-between-shape-features-and-numerically-predicted-risk-of-asc
MLA “A machine learning approach to investigate the relationship between shape features and numerically predicted risk of ascending aortic aneurysm.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-machine-learning-approach-to-investigate-the-relationship-between-shape-features-and-numerically-predicted-risk-of-asc.
BibTeX @misc{4ortxyz_a-machine-learning-approach-to-investigate-the-relationship-between-shape-features-and-numerically-predicted-risk-of-asc_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A machine learning approach to investigate the relationship between shape features and numerically predicted risk of ascending aortic aneurysm}}, year = {2026}, url = {https://4ort.xyz/entity/a-machine-learning-approach-to-investigate-the-relationship-between-shape-features-and-numerically-predicted-risk-of-asc}, note = {Accessed: 2026-05-24}}
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