Development and validation of a machine learned algorithm to IDENTIFY functionally significant coronary artery disease

INTRODUCTION: Multiple trials have demonstrated broad performance ranges for tests attempting to detect coronary artery disease. The most common test, SPECT, requires capital-intensive equipment, the use of radionuclides, induction of stress, and time off work and/or travel. Presented here are the d...

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Detalles Bibliográficos
Autores principales: Stuckey, Thomas, Meine, Frederick, McMinn, Thomas, Depta, Jeremiah P., Bennett, Brett, McGarry, Thomas, Carroll, William, Suh, David, Steuter, John A., Roberts, Michael, Gillins, Horace R., Lange, Emmanuel, Fathieh, Farhad, Burton, Timothy, Khosousi, Ali, Shadforth, Ian, Sanders, William E., Rabbat, Mark G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9481304/
https://www.ncbi.nlm.nih.gov/pubmed/36119746
http://dx.doi.org/10.3389/fcvm.2022.956147

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9481304/
https://www.ncbi.nlm.nih.gov/pubmed/36119746
http://dx.doi.org/10.3389/fcvm.2022.956147

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