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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Detalles Bibliográficos
Autores principales: Lee, R., Jarchi, D., Perera, R., Jones, A., Cassimjee, I., Handa, A., Clifton, D.A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6033055/
https://www.ncbi.nlm.nih.gov/pubmed/29988820
http://dx.doi.org/10.1016/j.ejvssr.2018.03.004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6033055/
https://www.ncbi.nlm.nih.gov/pubmed/29988820
http://dx.doi.org/10.1016/j.ejvssr.2018.03.004

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