Applied Machine Learning for the Prediction of Growth of Abdominal Aortic Aneurysm in Humans

Applied Machine Learning for the Prediction of Growth of Abdominal Aortic Aneurysm in Humans

Objective: Accurate prediction of abdominal aortic aneurysm (AAA) growth in an individual can allow personalised stratification of surveillance intervals and better inform the timing for surgery. The authors recently described the novel significant association between flow mediated dilatation (FMD)...

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Bibliographic Details
Main Authors: R. Lee, D. Jarchi, R. Perera, A. Jones, I. Cassimjee, A. Handa, D.A. Clifton, K. Bellamkonda, F. Woodgate, N. Killough, N. Maistry, A. Chandrashekar, C.R. Darby, A. Halliday, L.J. Hands, P. Lintott, T.R. Magee, A. Northeast, J. Perkins, E. Sideso
Format: Article
Language:English
Published: Elsevier 2018-01-01
Series:EJVES Short Reports
Online Access:http://www.sciencedirect.com/science/article/pii/S2405655318300094

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http://www.sciencedirect.com/science/article/pii/S2405655318300094

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