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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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: Artigo
Jezik:Inglês
Izdano: Elsevier 2018-01-01
Serija:EJVES Short Reports
Online dostop:http://www.sciencedirect.com/science/article/pii/S2405655318300094
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