Noninvasive estimation of aortic hemodynamics and cardiac contractility using machine learning

Cardiac and aortic characteristics are crucial for cardiovascular disease detection. However, noninvasive estimation of aortic hemodynamics and cardiac contractility is still challenging. This paper investigated the potential of estimating aortic systolic pressure (aSBP), cardiac output (CO), and en...

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Gepubliceerd in:Sci Rep
Hoofdauteurs: Bikia, Vasiliki, Papaioannou, Theodore G., Pagoulatou, Stamatia, Rovas, Georgios, Oikonomou, Evangelos, Siasos, Gerasimos, Tousoulis, Dimitris, Stergiopulos, Nikolaos
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Nature Publishing Group UK 2020
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Article
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7490416/
https://ncbi.nlm.nih.gov/pubmed/32929108
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-72147-8
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