Applied machine learning for the prediction of growth of abdominal aortic aneurysm in humans
<strong>Objective</strong> 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 fl...
Váldodahkkit: | Lee, R, Jarchi, D, Perera, R, Jones, A, Cassimjee, I, Handa, A, Clifton, D |
---|---|
Materiálatiipa: | Journal article |
Almmustuhtton: |
Elsevier
2018
|
Geahča maid
-
Applied Machine Learning for the Prediction of Growth of Abdominal Aortic Aneurysm in Humans
Dahkki: R. Lee, et al.
Almmustuhtton: (2018-01-01) -
Engaging patients for their opinions regarding research of abdominal aortic aneurysms
Dahkki: Lee, R, et al.
Almmustuhtton: (2018) -
Patients’ opinions regarding research and management of abdominal aortic aneurysms
Dahkki: Lee, R, et al.
Almmustuhtton: (2017) -
Integrated physiological and biochemical assessments for the prediction of growth of abdominal aortic aneurysms in humans
Dahkki: Lee, R, et al.
Almmustuhtton: (2018) -
Flow mediated dilatation and the progression of abdominal aortic aneurysms
Dahkki: Lee, R, et al.
Almmustuhtton: (2017)