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...
| Autores principales: | , , , , , , |
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| Formato: | Journal article |
| Publicado: |
Elsevier
2018
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