Multicenter validation of a machine learning phase space electro-mechanical pulse wave analysis to predict elevated left ventricular end diastolic pressure at the point-of-care

BACKGROUND: Phase space is a mechanical systems approach and large-scale data representation of an object in 3-dimensional space. Whether such techniques can be applied to predict left ventricular pressures non-invasively and at the point-of-care is unknown. OBJECTIVE: This study prospectively valid...

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Detalles Bibliográficos
Autores principales: Bhavnani, Sanjeev P., Khedraki, Rola, Cohoon, Travis J., Meine, Frederick J., Stuckey, Thomas D., McMinn, Thomas, Depta, Jeremiah P., Bennett, Brett, McGarry, Thomas, Carroll, William, Suh, David, Steuter, John A., Roberts, Michael, Gillins, Horace R., Shadforth, Ian, Lange, Emmanuel, Doomra, Abhinav, Firouzi, Mohammad, Fathieh, Farhad, Burton, Timothy, Khosousi, Ali, Ramchandani, Shyam, Sanders, William E., Smart, Frank
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9665374/
https://www.ncbi.nlm.nih.gov/pubmed/36378672
http://dx.doi.org/10.1371/journal.pone.0277300

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9665374/
https://www.ncbi.nlm.nih.gov/pubmed/36378672
http://dx.doi.org/10.1371/journal.pone.0277300

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